EAEthan Aidam Resume

Biomedical ML and health data science

Ethan Aidam

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

Biomedical engineering, health data science, and endurance sport.

I am a Harvard biomedical engineering student pursuing a secondary in computer science and competing in NCAA Division I track and cross country. My work sits where biological context meets technical execution: protein language models, public health AI agents, epidemiology, RNA-seq analysis, wearable physiology, and geospatial tools that turn complex data into useful systems.

Projects from models to deployed data tools.

Browse selected work across Python, Pandas, NumPy, Machine Learning, Bioinformatics, R, SQL, LangGraph / LangChain, and more.

PythonPandasNumPyMachine LearningBioinformaticsRSQLLangGraph / LangChainAWS BedrockRNA-seqGSEADESeq2 / edgeRScikit-LearnBayesian ModelingStrava APISpotify APIGeospatial AnalyticsFlaskBashSTARVariant AnalysisWeb Scraping
Machine Learning Research Assistant

Harvard University, Shakhnovich Lab

Fine-tuning PPLM-Affinity 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 socioeconomic predictors of obesity onset.

Jun 2025 - Aug 2025
NSAPH Project Management Intern

Harvard Data Science Initiative

Led Basecamp-based project systems and maintain the public website for a national consortium of 100+ climate and health researchers.

May 2024 - Present
Molecular Biology Research Assistant

UMBC Lobo Lab

Managed reproducible RNAi experimental pipelines and quantitative phenotypic data across 200+ planarians.

Jun 2024 - Aug 2024
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