Hi, I'm Sasha 👋
I'm a machine learning scientist working on transfer learning, representation learning and model interpretation for genomic data. I fine-tune large pretrained models for new prediction tasks and use in silico perturbation to study what they learn. I also build models that learn compact representations of high-dimensional genomic data. My work is in PyTorch, with distributed training (DDP), parameter-efficient fine-tuning (LoRA) and custom loss functions. A background in clinical diagnostics informs the problems I work on.
🌱 Currently learning: cloud infrastructure for ML training and deployment (AWS)
