∃∀Ethan Aidam Resume

ML & Data Science for Health

Ethan Aidam

Harvard BA Biomedical Engineering Secondary in Computer Science NCAA Division I Track & Cross Country Expected May 2027

Hi! My name is Ethan...

I study Biomedical Engineering and Computer Science at Harvard University, and I’m interested in applying machine learning and data science to improve health and medicine on a global scale. Currently, I’m working on a thesis developing machine learning methods to predict how mutations in the SARS-CoV-2 spike protein affect antibody binding affinity, with the goal of understanding how viral fitness landscapes can inform antibody design.

From models to deployed data tools.

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Machine Learning Research Assistant

Harvard University, Shakhnovich Lab

Fine-tuning protein language model with PyTorch and a CUDA/SLURM training pipeline to predict SARS-CoV-2 spike binding affinities to neutralizing antibodies and ACE2.

Jun 2026 - Present
Epidemiological Research Assistant

Hiroshima University School of Medicine

Conducted Cox proportional hazards modeling on 400,000+ Japanese adults to identify individual and neighborhood-level socioeconomic predictors of obesity onset.

Jun 2025 - Aug 2025
NSAPH Project Management Intern

Harvard Data Science Initiative

Implemented Basecamp-based project management system for a national consortium of 100+ climate and health data scientists and maintain public website.

May 2024 - Present
Molecular Biology Research Assistant

UMBC Lobo Lab

Investigated genes regulating planarian regeneration using RNAi knockdown and phenotypic analysis across 200+ planarians.

Jun 2024 - Aug 2024
Executive Director

Harvard Tech and Global Health Initiative

Lead a 50+ member organization delivering technology-driven consulting and research projects for global health partners, including a charity 5k that has raised $10,000+ for cancer research and care.

Aug 2023 - Present
Patient Care Services Intern

Johns Hopkins Medicine

Supported Breast Cancer Center operations by assisting 10+ patients daily, resolving Epic EHR workflow issues, and supporting rehabilitation staff during patient evaluation.

Jun 2023 - Aug 2023