Heath Fellows | Portfolio
Bates College student bridging biochemistry, business analytics, artificial intelligence, and life sciences strategy.
Heath Fellows
Bates College biochemistry and computational studies student pursuing the intersection of business analytics, artificial intelligence, healthcare innovation, and life sciences strategy.
About Me
Biochemistry major and Digital & Computational Studies minor at Bates College, focused at the intersection of business analytics, artificial intelligence, healthcare innovation, and life sciences strategy.Across psychological research, microbiology, biotech startup development, and AI automation, I’ve been drawn to the same question: how can complex systems be better understood, improved, and translated into lasting practical value?From studying the cognitive effects of COVID-era masking, to researching how PFAS contamination affects soil bacteria on small farms in Maine, to contributing to biotech device development and building AI voice agents for small businesses, I aim to translate technical insight into practical, scalable impact.
AI Alumni Directory for Bates College
This project is currently being developed over the summer as an independent initiative to make Bates alumni discovery more accessible, searchable, and useful for students. The goal is to build a clean AI-powered platform where students can search for alumni by industry, role, location, company, or career path using natural language rather than manually sorting through disconnected profiles.Over the summer, I am working on the product concept, interface design, data structure, and early search functionality, with the long-term goal of creating a tool that helps students identify relevant alumni more efficiently and turn the Bates network into a more practical career resource.
CellField Technologies: Biotech Device Research and Development
At CellField Technologies, I developed the second-generation model of MAJIC, a microphysiological organ-on-a-chip platform designed to model joint biology for preclinical testing. By the end of my first summer, I had successfully advanced a functional second-generation device from CAD design through 3D prototyping and microfluidic testing, while aligning the platform with mammalian cell culture workflows and biological performance goals.After my first summer, I received a return offer to continue R&D work on the platform, including design iteration, experimental testing, weekly R&D presentations, collaboration with Poly-Med, and support for an in silico predictive analysis workflow for future MAJIC optimization.
Casco AI
Co-founded with other Bates students, Casco AI builds AI voice agents for small service businesses facing operational challenges like missed calls, manual bookings, customer questions, and staff handoffs.My work has focused on client discovery, cold outreach, sales conversations, and early product development - helping translate real business pain points into practical AI automation workflows for restaurants, country clubs, golf courses, and hospitality businesses.
Computational Face Recognition Study
Programmed and led a high school research project examining how COVID-19 face masks affected adolescents’ facial recognition and social connection. After collecting face-matching data through a GFMT-inspired task, I analyzed accuracy and reaction-time results in Microsoft Excel. Recognition accuracy remained largely stable, suggesting that the eyes, eyebrows, and surrounding upper-face region play a major role in facial recognition, while slower reaction times and survey responses indicated that masks still affected students’ social and emotional experience.