I work at the intersection of machine learning and computational biology, building models and pipelines for protein modeling and single-cell analysis. Currently pursuing an MS in Automated Science at Carnegie Mellon University. Previously, worked as a Software Development Engineer at Amazon.
- Puncta CSAT Pipeline – End-to-end microscopy analysis pipeline for studying phase separation
- ASR Project 2025 – Active learning framework for improving cell segmentation in microscopy
- Drug Design Dynamics – Protein–ligand interaction prediction using Metropolis simulations + ML models (Go, Python, R Shiny)
- ExpresSeekers – RNA-seq analysis pipeline for clustering and differential expression across large-scale cancer datasets
- Protein variant effect prediction (ESM-2)
- Hybrid Transformer + State Space models
Python · PyTorch · Scanpy · AWS · Java · Go
- Portfolio: https://simran-sodhi.github.io
- LinkedIn: https://linkedin.com/in/simran-sodhi-profile