About

Me

Hello! My name is Mihir Samdarshi, a software engineer with a background in computational and systems biology and a deep interest in high-performance computing, applied AI, and the life sciences. I graduated from Loyola Marymount University in 2019 with a Bachelor of Science in Biology and a minor in Computer Science. Since then, I've been committed to advancing biological research through innovative computational methods.

Academic Journey

During my undergraduate years at Loyola Marymount University, I had the opportunity to work in the bioinformatics research group led by Dr. Kam Dahlquist and Dr. John David Dionisio. I contributed to the GRNsight project, a web app for modeling and visualizing gene regulatory networks. This project allowed me to bridge the gap between biological researchers and computer scientists, honing my skills in both domains. I further expanded my expertise through various NSF-funded Research Experience for Undergraduate (REU) programs. At the University of Nebraska, I created a mathematical model of neuronal energy metabolism pathways involved in epilepsy, and at UC San Diego, I developed a multi-cellular mathematical model of interactions between cardiac fibroblasts and macrophages.

Professional Experience

After graduating, I joined Beyond Meat's Research & Development department, initially as a member of the Protein Research team. Here, I quickly realized the potential of computational biology in accelerating research and development efforts. I lead the creation of the Data Science/Engineering team, which focused on leading data management initiatives, building and deploying models, and developing automated assays. This experience solidified my belief in the importance of computational biology in addressing global challenges like climate change.

From 2021 to 2025, I worked as a Software/Bioinformatics Engineer in the Ashley Lab at Stanford University, where I built high-throughput biological data-processing workflows and engineered and analyzed petabyte-scale multi-omics data. I architected the API backend and Kubernetes infrastructure behind the MoTrPAC Data Portal, securely delivering multi-omics data to tens of thousands of researchers each month, using tools like React, TypeScript, Rust, Python, and Google Cloud Platform.

Today, I'm a Senior Software Engineer at Foresite Labs, where I build the platform and AI systems behind a research product for biopharma drug-investment decision-making. My work spans the full stack: a FastAPI backend, a React frontend, cloud infrastructure on AWS, and the AI layer, including a retrieval-augmented generation (RAG) system over a large biomedical corpus, a vision-language pipeline for extracting data from scientific documents, and tooling that lets LLM agents query our data. I joined as a Bioinformatics Engineer and was promoted to Senior Software Engineer in 2026.