nyx haile
@nyxhaile
Computer science and mathematics student building AI-driven computational design and research tools.
What I'm looking for
I am a dual-degree Computer Science and Mathematics student with hands-on experience building AI-driven tooling, computational design pipelines, and research infrastructure for synthetic biology and HCI projects. I have led mentorship efforts in an interdisciplinary makerspace, developed generative-design and validation algorithms, and implemented high-performance computing setups to support LLM-assisted workflows.
I have shipped full-stack software and developer tools using Python, JavaScript, and modern frameworks, organized a generative-AI hackathon, and contributed to end-to-end experimental pipelines that bridge algorithmic design with lab workflows. I bring a data-driven, safety-conscious approach to research and engineering and thrive at the intersection of theory, systems, and applied AI.
Experience
Work history, roles, and key accomplishments
Undergraduate Researcher
Weiss Laboratory for Synthetic Biology
Jun 2025 - Sep 2025 (3 months)
Developed a generative design pipeline using graph algorithms and spatial optimization for biologically constrained microarchitectures and implemented validation metrics to ensure manufacturability and biological viability.
Research Mentor
The SHED
Sep 2023 - Sep 2025 (2 years)
Mentored interdisciplinary makerspace projects in biocomputing, HCI, and personal transportation; trained staff on advanced equipment and safety protocols and improved experimental access through data-driven methodologies.
AI Developer
Vana
Dec 2022 - Jul 2023 (7 months)
Organized the Vana x MIT Generative AI Hackathon managing a $25,000 prize pool and developed a scalable JavaScript/Python framework and a Swift messaging applet integrating the Vana API.
Education
Degrees, certifications, and relevant coursework
Massachusetts Institute of Technology
Bachelor of Science; Bachelor of Science, Computer Science; Mathematics
Activities and societies: Relevant coursework includes advanced computer science and mathematics classes; involved in research and AI development projects.
Pursuing dual B.S. degrees in Computer Science and Mathematics with a Minor in Economics; expected graduation May 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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