INTRODUCTION
I'm Eric, a Computer Scientist + Certified Goof
"I have recently graduated with my master's in computer science, focusing on AI/ML/Data Science and Software Engineering, and I am seeking a role that involves implementing cutting-edge technologies to solve real-world problems. Unlike many tech nerds, I am a tech nerd who thrives in roles that allow me to connect with people while applying technical skills. After learning my top 5 CliftonStrengths (Woo, Ideation, Learner, Futuristic, and Activator) during my time at Charles Schwab, I realized I work best in roles that require human interaction and creativity, and foster continuous learning and go-getter attitudes, making me well-suited to environments where collaboration and innovation intersect."
4+
COMPUTER SCIENCE:YEARS OF EXPERIENCE
16+
PROJECTSCOMPLETED
7+
CHEMISTRY:YEARS OF EXPERIENCE
Biography (it is long)
Graduating from Colorado State University with a chemistry degree in 2013, I landed an opportunity to work at the forefront of analytical quantification methodologies for cannabis at Nordic Analytic. Being in the first state to legalize cannabis in the U.S., I was among the pioneering chemists in the cannabis testing industry, helping shape the methodologies we use today. I'm honored that my potency testing methodology was chosen by the state of Colorado as the industry standard. Later on, I joined Cannasafe in Los Angeles as the potency team lead. There, I built the potency department from the ground up and eventually managed a team of 8. During my tenure, we were ranked the 13th fastest-growing start-up in the U.S. by Inc., with our revenue skyrocketing by 12,143 percent.
Throughout this journey, I recognized the vital role of the laboratory information management system (LIMS) in a scientific lab. Collaborating with software engineers responsible for LIMS at both Nordic Analytic and Cannasafe, I discovered my aptitude and enthusiasm for software development and how it can be used to solve everyday problems. I started with coding courses on Codecademy, and when COVID hit, I shifted away from chemistry and returned to Colorado State University for its newly revamped computer science program. In just 2 years, I earned my second bachelor's degree with magna cum laude distinction and began pursuing my master's focusing on AI, cybersecurity, and data science. During this time, I was actively working on creating a laboratory information management system with Dil Ahdan in London, that aimed to solve the problems cannabis testing labs were facing in their day-to-day lives. However, after two years, we recognized that the market was not ready to invest in our product due to resistance to change and strict industry regulations on data, making it difficult for clients to take the risk of migrating to a new and unknown LIMS.
This project taught me an important lesson: the need to fully understand the 'why' behind a solution. If we had taken the time to ask the potential clients what they were truly looking for and why they wanted a new solution, we would have realized that those voicing the complaints were not the decision-makers in charge of spending. We also came to understand that with our current levels of dedication, the product was bound to fail. This experience has driven me to approach problem-solving by focusing on understanding the project goals/client needs and asking the right questions to ensure alignment between the solution and the goal.
I then had my first corporate internship at Charles Schwab, where I identified my top 5 CliftonStrengths (Woo, Ideation, Learner, Futuristic, and Activator). During this internship, I self-reflected and realized how much I thrive in roles that allow me to connect with people while applying technical skills. I’m passionate about exploring new ideas, building relationships, and driving forward-thinking solutions that align with both user and business goals.
Now, after obtaining my master’s degree focusing on AI, cybersecurity, and data science, I’m eager to find roles that allow me to blend my technical expertise with my love for communication and problem-solving. I am driven not just to solve problems but to understand the 'why' behind them. My goal is to work on AI projects that have a real-world impact, particularly in areas like natural language processing, generative AI, and data-driven decision-making, ensuring that the solutions I help design are innovative, effective, and aligned with user needs and business objectives.
I’ve learned through experience that diving into development without a deep understanding of the underlying problem can lead to wasted effort. This has shaped my approach, ensuring that the solutions I design are not only innovative but also genuinely aligned with user needs and business objectives. I’m excited to see where generative AI and other emerging technologies will take us, and I’m committed to staying at the forefront of these advancements, constantly learning and growing to harness these technologies effectively.
Education
M.S. in Computer Science (GPA 3.857)
Funded Reasearch Assistant
Colorado State University
Aug 2024B.S. in Computer Science (GPA 3.951)
Magna Cum Laude Distinction
Colorado State University
Dec 2022B.S. in Chemistry (GPA 3.34)
Concentration in Analytical Chemistry
Colorado State University
May 2013Experience - Computer Science
Full Stack Developer
Grit & Grub
Fort Collins, CO
June 2024 - PresentIT and Solutions Support
North & Co. Real Estate Agency
Littleton, CO
Dec 2022 - PresentGraduate Researcher - Cybersecurity/ML/NLP/AI
Colorado State University
Fort Collins, CO
Dec 2022 - Sep 2024Graduate Teaching Assistant
CT 301 - Fundamentals of C++
Logan Seabolt - Colorado State University
Jan 2024 - May 2024Graduate Teaching Assistant
CS 414 - Object Oriented Design
Dave Matthews - Colorado State University
Aug 2023 - Dec 2023Guest Instructor
CSU Cyber Camp 2023
Colorado State University
June 2023 (2 Weeks)Lead Teaching Assistant
Python
Elisa Cundiff - Colorado State University
Aug 2022 - Aug 2023Internship at Charles Schwab
Database Team
Lone Tree, CO
June 2022 - Aug 2022Cybersecurity and Privacy Internship
Threat and Vulnerability Team
Colorado State University
Aug 2021 - May 2022Undergraduate Research
Visualization of Covid-19 Data
Dr. Ghosh - Colorado State University
May 2021 - Aug 2021HashDump Club Officer
Treasurer
Colorado State University
Apr 2022 - May 2024Duo Mobile 2FA Help Desk
Division of IT
Colorado State University
Oct 2021 - Nov 2021Experience - Chemistry
Sr. R&D Chemist / Quality Control Chemist
CannaSafe Analytics
Van Nuys, CA
Feb 2020 — Aug 2020Sr. Chemist / Potency Department Lead
CannaSafe Analytics
Van Nuys, CA
Sept 2018 — Feb 2020Analytical Chemist / Workflow Manager
Nordic Analytical Laboratories
Denver, CO
Sept 2016 — Aug 2018Science Instructor
MadScience of Colorado
Denver, CO
Feb 2016 — Aug 2016Food Chemist
IEH - Warren Analytical Laboratory
Greeley, CO
Aug 2014 — Jan 2016Research and Product Development Chemist
Advanced MicroLabs LLC
Fort Collins, CO
Jul 2013 — Jul 2014 (Aquired)QC Chemist, Internship
Tolmar Pharmaceuticals
Fort Collins, CO
JMay 2012 — Aug 2012Competencies
Technical Competencies
These are technical skills that I have acquired thus far in my computer science career.
I am not claiming to be a master in all of these skills, that would be amazing, but it is simply not true.
With that said, I am confident that I can hold a position that utilizes any of the following competencies and increase my mastery in any of these skills if needed.
Languages
Python, C++, Java, C, JavaScript, Bash, Dart, Solidity, MySQL, Oracle PL/SQL, HTML, CSS, JSON
Coding Methodologies
Agile, Retrieval Augmented Generation (RAG), Clean Code, Test-Driven Development, Ability to use cutting-edge tools to improve efficiency
Project Management
SCRUM, Maven, GitHub, Jupyter Notebooks, Kanban, Presentation Skills, Team Leadership/Management, Cross-Team Communication, Project Design, Specifications/Requirements, UML, ERD, Great Sense of Humor
Interests
Artificial Intelligence, Generative AI, Software Engineering, Software Development, Cybersecurity, Machine Learning, Data Visualization, Business Analytics, Ideation, Blockchain, Cryptocurrency
Relevant Courses
Machine Learning (I, II), Artificial Intelligence, Natural Language Processing, Data Mining, Big Data, Distributed Systems, Ethics in Computer Science, Data Structures, C++, Java, Object Oriented Design, Operating Systems, Computer Organization, Systems Security, Algorithms, Project Management for CIS, Creating Things that Think,, Calculus I - III, Linear Algebra for Data Science, Discrete Structures, Blockchain, Software Metrics
Development
Linux, Windows, Data Pipelines, Distributed Systems, Vector Databases, Virtual Machines, Kubernetes, Docker, React, Bootstrap, MariaDB, JSON, Anaconda, Numpy, Matplotlib, Flutter, Pandas, Junit, JEST, PyTorch, TensorFlow, GPT, Generative AI Tools
Highlights
Featured Highlights
Here are some awards, articles, documents, certificates, and whatever else I am proud of.
Towards a Comprehensive Dataset for Discrimination between Warranted and Unwarranted Emails
Read the Paper for Free Here
I had the honor of presenting my most recent publication in-person at ACM CCS 2023 in Copenhagen, Denmark. My research focuses on creating a comprehensive dataset to improve spam email filtering techniques.
GitHub Copilot: A Threat to High School Security? Exploring GitHub Copilot's Proficiency in Generating Malware from Simple User Prompts
Read Paper for Free Here
I presented my research paper at the IEEE Sponsored 2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) held in Windhoek, Namibia. My paper, published by IEEE, explores the potential misuse of GitHub Copilot by novice programmers to generate various types of malware. The study assesses how easily GitHub Copilot can be used to create malicious software and discusses the implications for high school security.
Learn More Here
Graduation Photo, Magna Cum Laude
I did it! I got my second bachelor's degree in computer science with Magna Cum Laude latin distiction in Dec 2022!
Placed 3rd at the Bio-Cybersecurity Hackathon
Blake Davis (left), Tyson O'Leary (right) and I (center) placed third at the annual Biocybersecurity competition. It was an fun and challenging event that involved problems that bordered the intersection of biochemistry and computer science. Check out this article about the challenge ->> Article
Cyber Camp 2023/2024
For the past 2 years, I taught a hands-on class about phishing, ran a Capture The Flag competition through CyberStart, and demonstrated the Hak5 Rubber Ducky at CSU's Cyber Camp. I created an engaging presentation featuring a simulated ransomware attack to teach phishing prevention and show the ease of creating phishing emails using Kali tools. The camp also covered network security, data encryption, and cybersecurity career paths.
Learn More Here
Worked to Create Lab Overflow
Working alongside Dil Ahdan we have created and launched Lab Overflow, a website that acts as a job board, lab to lab blog, and lab directory for the cannabis space.
Launched the Open Source PortfoliU Project!
We succesfully launched our PortfoliU Project which is an open-source GitHub project designed to help individuals create their own professional portfolio websites for free. By providing templates, tutorials, and tips & tricks, PortfoliU makes it easy for anyone to build a portfolio website without requiring design or coding skills. Our goal is to make tutorials more accessible by translating them into different languages. Contribute by adding new templates, updating tutorials, or translating content.
Explore the project Here
Medium Article: Part 1 of my Cannabis Lab 101 Series
Read my Article Here
So, how does one go about performing a validation? I will quickly outline the steps that most cannabis labs must include in the validation of each testing assay. For the sake of this article, I will be showing the steps needed (on average) for a Potency Determination Method.
Medium article: Part 2 of Cannabis Lab 101
Read my Article Here
The world of cannabis science is often shrouded in mystery and unlike other scientific industries where knowledge is shared — knowledge in the cannabis testing industry is protected — not shared. Well, I am here to help inform aspiring scientists around the world of this one fact — everything you need to know to set up and run a cannabinoids separation method for potency determination is within the public domain!
Medium article: Part 3 of Cannabis Lab 101
Read my Article Here
Over in the Potency department, it is the cannabis chemist's job to accurately determine the cannabinoid profile of any sample that enters the laboratory. Let's break down how cannabis laboratories do this from beginning to end to help you understand the process.
Portfolio
Latest Papers / Projects
See my GitHub for actual details on the following projects. This is also most likely not up to date like most personal websites.
ethr/place: A Decentralized, Collaborative Pixel Art Platform on Ethereum
Ethr/place is a decentralized, collaborative pixel art platform built on the Ethereum blockchain, inspired by Reddit's r/place project. Ethr/place leverages the benefits of blockchain technology, such as decentralization, immutability, and smart contract capabilities, to create a transparent, secure, and engaging platform for users to collaborate on digital art. We hope to address the challenges encountered in the original r/place project, such as bot interference by implementing additional logic and measures to ensure fairness and genuine user participation. Furthermore, Ethr/place introduces novel incentive mechanisms and potential monetization strategies, including a referral program and revenue-sharing model, to reward users for their contributions and foster active community engagement. This paper outlines the design, implementation, and key features of Ethr/place, highlighting its advantages over the traditional r/place collaborative art platform and discussing potential challenges and future developments. Through the integration of blockchain technology and community-driven governance, Ethr/place seeks to establish itself as a fun reimagination of the original r/place success.
Double Dueling Deep Q Reinforcement Based Trading Agent: A Sentiment, Search Trends, Financial Data, and Blockchain Information based Approach
This paper presents a reinforcement learning-based trading agent designed to navigate the volatile cryptocurrency market, with a focus on the Ethereum market. Building upon the foundation laid by David Gallo's thesis [1], which utilized Double Deep Q-Networks (DDQN) and Dueling Deep Q-Networks, the proposed trading agent incorporates several improvements to enhance its performance and adaptability. Key upgrades to the architecture include the implementation of LeakyReLU activation functions and batch normalization, which contribute to the stability and generalization performance of the underlying neural networks. The agent is also equipped with a more diverse set of features, such as sentiment data, search trends, financial indicators, and blockchain data, which allow it to make more informed decisions in the face of market volatility. To further improve the agent's decision-making capabilities, a curriculum learning approach is employed, progressively exposing the agent to increasingly complex market scenarios and fostering better adaptability. The results of the experiments show the promise of the trading agent in generating profitable trading strategies and adapting to prevailing market trends. By building upon and enhancing the original agent proposed in Gallo's thesis, this research demonstrates the potential of reinforcement learning and artificial intelligence in developing robust and adaptive trading strategies in the ever-changing cryptocurrency market.
TerraLink: Bridging Domains for Spatial Understanding
The TerraLink framework is introduced as the beginning steps towards a solution for enhancing spatial understanding through the integration of heterogeneous geospatial datasets into a unified knowledge graph enabling intuitive, human-language-based querying. Key contributions of this work include the development of a Spatial Resolution Mapping technique to help optimize data integration processes and reduce computational inefficiencies, allowing for a more customizable graph construction approach. Our knowledge graph demonstrates efficient performance in query processing and allows for the creation of custom motifs. Our framework aims to allow advancements in environmental monitoring and urban planning by enabling detailed analyses of spatial interactions that affect water quality and other ecological factors. Future directions for TerraLink involve adding more diverse datasets and improving upon its query functionalities to include novel spatial relationship types, thus broadening the scope of intuitive queries that reflect complex human thought processes.
View Paper Here
Exploiting SEC Insider Trading Form 4 Filings: A Dueling Double Deep Q Neural Network-based Reinforcement Learning Approach
This paper aims to identify the potential of exploiting legal insider trading information from SEC Form 4 filings using advanced reinforcement learning techniques. By harnessing a Dueling Double Deep Q-Network (DDDQN), we investigate whether residual market effect following insider trades can be identified and utilized for financial gain within a 14-day window post-disclosure. The methodology consists of extensive data preprocessing, real-time data integration via Apache Storm, financial feature engineering, and the development of a curriculum-based AI trading agent. The unique combination of Double Deep Q Networks and Dueling Networks, enhanced by Prioritized Experience Replay was chosen as it has been shown to handle complex, dynamic environments similar to financial markets. Preliminary results following Curriculum 1 indicate that although the agent is demonstrating potential, significant refinements in risk management and decision-making need to be addressed in the subsequent curricula. View Paper Here
Playlist-Based Recommendation System for Spotify: A Recommendation System utilizing the cosine similarity metric
This study leverages data mining techniques to enhance the Spotify Million Playlist Dataset by mapping and reducing the dataset, followed by enrichment using the Spotify API. The enriched dataset allows for personalized music recommendations by employing the cosine similarity metric to identify the ten most similar songs to each playlist. We discuss our methods for preprocessing and enriching the dataset, applying data mining techniques, and present findings on the system's effectiveness. Future work will focus on addressing current limitations and exploring improvements for music recommendation systems.
View Paper Here
Towards a Comprehensive Dataset for Discrimination between Warranted and Unwarranted Emails
Current spam filters tend to have an over-reliance on user feedback to train their models. Spam, by definition, is unsolicited usually commercial correspondence sent to a large number of recipients. Interestingly though, a significant portion of emails perceived as spam are actually solicited commercial messages that recipients have, in some manner, consented (explicitly or implicitly) to receive. Users tend to flag these solicited emails as spam rather than unsubscribe which trains machine learning-based spam filters to adjust weights to bias against solicited commercial correspondence and potentially reduce their effectiveness at recognizing subtle cues of unsolicited malicious spam. We have created a dataset of warranted spam (solicited 'spam') that can be used alongside the Bruce Guenter Spam Archive that consists of unwarranted spam (unsolicited spam) to allow us to train a classification model to distinguish between warranted and unwarranted spam. Once the model is created, after a user flags an email as spam, it will be input into our model and classified as either 'warranted spam' or 'unwarranted spam'. If the email is classified as warranted it will not be used to train the spam filter but a rule will be created to prevent similar emails from entering the user's inbox. If the reported email is classified as unwarranted, it will be used to update the spam filter. By doing this, we can begin to harden spam filters as they will be more focused on unsolicited spam as opposed to solicited, unwanted commercial correspondence.
View Paper Here
Classification of Warranted and Unwarranted Spam: Improving User-Feedback Trained Spam Filters
This study builds on prior research to develop a model that distinguishes between warranted and unwarranted spam. By combining a BigBird transformer with an RNN/LSTM for textual data and a feed-forward neural network for non-textual features, the model aims to reduce biases in user-feedback trained spam filters. The goal is to enhance spam filters' focus on malicious spam while ignoring benign commercial correspondence.
View Paper Here
GitHub Copilot: A Threat to High School Security? Exploring GitHub Copilot's Proficiency in Generating Malware from Simple User Prompts
Abstract—This paper examines the potential implications of script kiddies and novice programmers with malicious intent having access to GitHub Copilot, an artificial intelligence tool developed by GitHub and OpenAI. The study assesses how easily one can utilize this tool to generate various common types of malware ranging from ransomware to spyware, and attempts to quantify the functionality of the produced code. Results show that with a single user prompt, malicious software such as DoS programs, spyware, ransomware, trojans, and wiperware can be created with ease. Furthermore, uploading the generated executables to VirusTotal revealed an average of 7/72 security vendors flagging the programs as malicious. This study has shown that novice programmers and script kiddies with access to Copilot can readily create functioning malicious software with very little coding experience. This paper discusses how this could potentially lead to an increase in internal attacks on schools due to the average age demographic of the target group. However, if used correctly this technology could potentially help this same demographic gain the skills needed for ethical hacking practices utilized in the cybersecurity space.
View Paper Here
Deploying Containerized FTP and NGINX™ Servers Across a Raspberry Pi Cluster Kubernetes Framework with Built in Physical Tamper Detection Sensing
Utilizing Kubernetes as a framework to manage and cluster together multiple Raspberry Pi microcontrollers we have created a mini ‘supercomputer' that can run load balanced containerized deployments simultaneously across all nodes in the cluster. The device also contains a sensor that monitors for physical tampering of the device.
Alchemetry Trading Bot - System Requirement Document
In this 25 page document we will be providing details pertaining to the Alchemetry Trading Bot. This includes our companies' goals and objectives, background, stakeholders, product requirements, use-cases, and scope.
View Document Here
Algorithmic Stochastic, RSI, and MACD Trading Strategy
Backtesting the Stochastic, Slow RSI, MACD Trading Strategy presented by Data Trader. It seems to look good on Forex markets and Cryptos (Bitcoin, Ethereum).
Algorithmic Moving Average Trading Strategy
Backtesting the tried and true moving average methodology using the 20DMA and 50DMA
Arduino 'Safe-Cracking' game I designed
Arduino 'Safe-Cracking' game where you try to crack into a BTC safe. Failure is not an option! You are attempting to crack into a device that contains sensitive cryptocurrency data. Use the rotary encoder and listen for a variation in the sound of the clicks to identify the correct combination.
Arduino Project
Utilizing the X Y Axis potentiometers within an analog joystick, I have created a simple Arduino device that allows the user to manually change the color of an RGB LED depending on the position of the joystick. When the joystick is depressed, depending on the position when depressed, a unique song will play as well.
News Scrape with Sentiment Analysis
In this project I am utilizing Python to scrape financial cryptocurrency news from the web and utilizing the natural language processing capabilities via 'Hugging Face' to automatically summarize that news while accessing the sentiment related to each asset.
Peer to Peer Encrypted Messaging System
This was a project for my Java course at Colorado State University where we had to make a peer to peer message system that uses a Caesar Cipher, Shifting Caesar Cipher, and Substitution Cipher.
Text-based game based on DnD
Final project for a Java course at Colorado State University. This is a text based game involving luck of the draw (tarot card based status alterations), luck of the dice (damage based on random dice rolls), and random encounters with various foes. Pick 1 to 4 knights and set off on your text-based ACSII art adventure!
Research project at CSU
Manipulate tabular data programmatically to extract geo-names and create location-based data. Convert tabular data into a meaningful geographic data structure.
Pictures
Pictures to Verify I am a Weirdo
Here is a collage of photos that help eludidate my eceletic personality.
Proposal at the Colorado Renaissance Faire
In August 2021 I proposed to Brena Adams at the Colorado Renaissance Faire!
Stunner photo where I was feeling like James Bond
This photo was taken in Japan and in this specific photo I was walking away from the camera and then turned back and said, "Bond, James Bond"
Hillarious CyberFuturism Photograph
Messing around at Brena's Uncle-in-law's photography studio we found the items needed to put together these amazing outfits.
Looking all model-like off the coast of Japan
So, I was fortunate enought to live in Japan for 3 months and this photo was taken off the coast of Monkey Island in Japan.
Homemade Satyr Outfit
This fantastical picture is of my homemade satyr outfit I made for halloween in 2017
Totally serious cybersec hacker man
Ok, so I could not get enough of these 'no frame' matrix glasses so when I saw this trench coat I absolutely couldn't resist taking this photo. And no, sadly I don't look like this all the time.
Cyberhero (or probably villain)
We found this spandex suit in the photo lab and it just so happened that it fit. I was holding a bundle of wires in my back hand.
Fun picture taken at Connor's Wedding
Back when I had a fantastic goatee, this picture was taken at my friend Connor's wedding.
Hockey with Dad
I grew up playing ice hockey and my dad and I occassionally will still hit up the ice every once in awhile.
Celebration picture at CannaSafe
This crazy photo was taken at CannaSafe to highlight that we successfully obtained all of our Emerald Scientific Badges for testing accuracy.
Me in my new suit of armor
This suit of armor was a crazy find. I found this whole suit of armor on Craigslist for way too cheap.
Brena and I lounging like Jarls in fur
Jarl - noun - a Norse or Danish chief. When we found these furs and swords, we just had to do this. This photo was inspired by Skyrim.
Me rocking out in my handmade face warmer
I made myself a dwarven beard with yarn and use it as an epic face warmer when I hit the slopes. I ski and snowboard.
Jumping kick holding nunchucks
I have done martial arts for a decent chunk of my life and my buddy snagged this perfect timed photo of me doing a jump kick.
References
References
Here are some of the amazing people who I have worked with in the past that I could reach out to for a reference if needed.
I really need to update this to add all my amazing computer science references! But that will be for another day.
For my future reference: Dr. Indrakshi Ray, Dr. Sudipto Ghosh, Dave Matthews, Elisa Cundiff, Dr. Joe Gersh, Dr. Amani Altarawneh, Kelly Poto, Victor Berggren, Tarun Sai Pamulapati, Dil Ahdan, Tyson O'Leary, Audrey Dorin, Charles Shwabbies, Luke Fisher, Enzo Barrett, Federico Larrieu, Matt Young, Kassidy Barram, and many more amazing people
Dave Butterfield
Operations & Project Management@ CannaSafe Analytics
Dave was my direct report supervisor at CannaSafe Analytics while I was a quality control chemist. We worked together on a variety of projects in regards to visualization of data trends, client complaints, and other buisiness analyical information.
Ini Afia, MSc.
Chief Science Officer@ CannaSafe Analytics
Ini Afia was the chief laboratory director at CannaSafe and was one of the best bosses I have worked with. We worked together to develop the potency department at CannaSafe and also worked on various side projects to better the company and its services.
Donald Biedenkapp
Assistant Laboratory Director@ Pride Analytics
Donald Biedenkapp was a brilliant chemist of whom I had the honor of being a part of my team. We worked together on an abundant amount of projects in order to constantly improve the analytical accuracy and precision of the cannabinoid department at CannaSafe.
Jennifer Feaster
Chief Operations Officer@ CeresLabs
Jennifer Feaster was an amazing Director of Operations at CannaSafe and was always working to improve the company. We worked together on developing the in-house laboratory information management system to improve the overall efficiency of the lab as a whole.
Zheng Wang
Laboratory Supervisor@ River Supply CO
Zheng and I both oversaw different departments at CannaSafe and collaborated on various projects including method validation and SOP development. I always looked forward to working alongside him.
Neya Jourabchian
Laboratory Director@ CannaSafe
Neya and I both led departments at CannaSafe until she became the analytical laboratory manager. She then worked with me to develop new procedures and methodologies to improve the potency department. She was a pleasure to work with and always had a positive attitude.
Esa Oittinen
Head of Product Development@ Tikun Olam USA
Esa was a supurb analytical chemist who worked on my team at CannaSafe. He was always a great asset to the team and always had a positive attitude. Alongside that he was always looking for ways to improve the department and pitched great ideas regularly.
Alexandra Harris
Field Application Scientist@ IsoPlexis
Alexandra was a technician on my team at CannaSafe whom I had the pleasure to mentor. Alexandra was a constant learner who brought a ton of educational skills to the team. With her lead, we worked together to develop new and innovative training materials for the potency department.
Alec Mouradkhanyan
Laboratory Production Manager@ CannaSafe
Alec was an amazing member of my team at CannaSafe. He was the definition of a hard worker who always was looking for ways to save the department money, improve efficiency, and increase throughput. I am proud of the progress he has made since we have worked together.
Saro Kanaan
Medical Device Sales Representative@ DJO
Saro was a great analytical chemist who worked on my team at CannaSafe. He was a very fast learner and was always seeking critical feedback during meetings in order to better himself. He was one of the most enjoyable people to work with and always knew how to boost team moral.
Jacquelyn Lam
Environmental Scientist@ California Department of Health
Jacquelyn was one of the first members on my team at CannaSafe. She was an invaluable asset to the team and helped bring it from its early stages to its current state. Her propensity towards research was a huge benefit for the team.