Hey, I'm Sidd!

I want to help people live healthier lives with AI.

Why?

Improving health through trial and error alone is slow and discouraging. Without quantitative data, it's hard to know if that new diet or medicine actually works. After seeing loved ones, and myself, battle chronic illness and wrestle fitness setbacks I realized there's a better way: precision health AI.

How?

My goal is to research and build frugal biomedical inference: ML-systems for complex biomedical data (sparse, noisy, multi-scale, multi-modal) that maintain high precision while reducing resource requirements.

I aim to explore this through:

• Novel data representations
• Alternative architectures (e.g. diffusion, state space, JEPA)
• Orchestrated (potentially agentic) systems of smaller, task-specific models

Now?

Building and researching precision oncology AI for tracking cancer with blood samples at Carnegie Mellon University. Check out DiPhylo and Mase-phi HPC.

School?

Getting my master's [bioinformatics] at Carnegie Mellon. Got my bachelor's [stats & data sci] at UC Santa Barbara.

Life?

house music [Rufus + Peggy Gou + Chris Stussy], cooking, movies/TV [Intestellar + Game of Thrones], staring at my Whoop recovery score, training for a marathon, traveling [Cappadocia is my favorite], hiking, space exploration YouTube, black coffee [both], 49ers, Brighton, The Beatles, Pink Floyd