Hi there!
I'm Anooj, a research engineer currently working at Freenome leading the Deep Learning Engineering efforts. Currently I'm focused on scaling large neural networks and novel genomic epigentic foundation models to one of the world's largest cfDNA cancer and disease dataset.
What I'm Doing Right Now!
Senior Machine Learning Research Engineer solving Cancer with ML!
Experience
Consulted on projects related to dynamical modeling of multi-colored electrophoretic ink capsules with deep learning models. Goals included building interpretable variability across production batches while understanding the necessary dynamics to drive display color efficiently.
Quantitative Research and Datascience consluting on the side. Past clients:
Developed deep learning models to solve the biggest problems in neuroscience with the smartest experts on the largest brain datasets!
Part-time, building out knowledge-graph based persistence framework and researching interesting problems like Distributed ID-Generation, Automated Precision Healthcare, and some more ML stuff.
IBM Watson
Work as an Intern for 2 summers for the Open Source Data and AI Team. Contributed to Spark (Keras to SystemML model conversion engine), working on Model Asset eXchange, and doing some research on GANs for time series data (audio and financial).
Working with some inspiring people and even more inspiring fellows! Mentored and PM'ed a cohort of young women to build cool software engineering projects with non-profits such as the Urban Institute.
Was an intern. Built out the premiliary models and developed some cool workflows
Publications
Michael Widrich,
Anooj Patel, Peter Ulz, Kaitlyn Coil, Thomas Royce, Jimmy Lin, Richard Bourgon, Anindita Dutta; Clin Cancer Res 1 July 2025; 31 (13_Supplement): A045.
Current Projects
Currently building a modern functional-style programming langauge for systems programming. It features algebraic effects, a modal system for borrow checking (like Jane Street's Oxidized Ocaml) and algebraic subtyping via SimpleSub. Currently the first iteration is written in Python and compiles directly to C.
Past Projects
Dark Chess Engine
Built the first dark chess engine utilizing some of the great imperfect-information Nash equilibrium solving algorithms, like Counterfactual Regret Minimization and Multi-Objective Information Set Monte-Carlo Tree Search.
⭐WIP: Blog soon™.