Krish Desai, PhD

Krish Desai, PhD

Machine Learning Researcher

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

experience

Software Developer Intern

Internship, Purple Gaze Inc., May 2020 - July 2020

Contributed to the development of advanced eye-tracking software at Purple Gaze Inc., building AI-driven algorithms and real-time image processing pipelines for production deployment.

Machine Learning Researcher

Research Position, Lawrence Berkeley National Laboratory, September 2020 - May 2025

Conducted research at the intersection of machine learning and high energy physics, developing novel computational methods for analyzing particle physics data.

PhD Research Intern

Research Internship, Microsoft Research, May 2022 - August 2022

Conducted theoretical and computational research at Microsoft Research, advancing mathematical foundations of non-local field theory and its applications to optimization.

Investment Analyst Intern

Internship, Bridgewater Associates, June 2023 - August 2023

Worked on systematic trading research and execution at Bridgewater Associates, developing probabilistic models and strategic frameworks to optimize investment decisions.

portfolio

publications

Moment Unfolding

Published in Physical Review D, 2024

Recommended citation: Desai, K., Nachman, B., & Thaler, J. (2024). Moment extraction using an unfolding protocol without binning. Physical Review D, 110(11), 116013.
Download Paper | Download Bibtex

talks

teaching

Introductory Physics

Head Associate Instructor, University of California, Berkeley, Fall 2021

Introduction to electricity, magnetism, electromagnetic waves, optics, and modern physics. The course presents concepts and methodologies for understanding physical phenomena, and is particularly useful preparation for upper division study in biology and architecture.

Physics for Scientists and Engineers

Associate Instructor, University of California, Berkeley, Summer 2021

Physics 7B is the second of the two physics classes required for chemistry and chemical engineering majors. This class covers a lot of material and focuses on three major physics concepts: thermodynamics, electricity, and magnetism. There are two, two-hour discussions each week and a total of five labs in the course that need to be completed. Homework is done on MasteringPhysics.

Introduction to Mathematical Physics

Associate Instructor, University of California, Berkeley, Fall 2023

Complex numbers, linear algebra, ordinary differential equations, Fourier series and transform methods, introduction to partial differential equations, introduction to tensors. Applications to physics will be emphasized. This course or an equivalent course required for physics major.

Introduction to Computational Techniques in Physics

Associate Instructor, University of California, Berkeley, Fall 2024

Introductory scientific programming in Python with examples from physics. Topics include: visualization, statistics and probability, regression, numerical integration, simulation, data modeling, function approximation, and algebraic systems. Recommended for freshman physics majors.

Data Science Applications in Physics

Associate Instructor, University of California, Berkeley, Fall 2024

Introduction to data science with applications to physics. Topics include: statistics and probability in physics, modeling of the physical systems and data, numerical integration and differentiation, function approximation. Recommended for freshmen intended to major in physics or engineering with emphasis on data science.