Krish Desai, PhD

Employment:
Machine Learning Researcher
Address:
Lawrence Berkeley National Laboratory,
1 Cyclotron Rd, 50-5048,
Berkeley, CA 94720-8099,
United States.
E-mail:
krishdesai7@gmail.com
Website:
https://www.desai.ml

Education

August 2020 – August 2025
University of California, Berkeley
Ph.D., Physics
August 2017 – May 2020
Yale University
M.S., Mathematics
B.S., Mathematics (Intensive)
B.S., Physics (Intensive)

Professional Experience

September 2020 – Present
Lawrence Berkeley National Laboratory
Machine Learning Researcher
June 2023 – August 2023
Bridgewater Associates
Investment Analyst Intern
May 2022 – August 2022
Microsoft Research
PhD Research Intern
August 2020 – December 2024
University of California, Berkeley
Associate Instructor
May 2020 – July 2020
Purple Gaze Inc.
Software Developer Intern
December 2017 – May 2020
Yale University
Student Technology Coordinator

Publications

October 2025
Unbinned Inference with Correlated Events

Krish Desai, Owen Long, and Benjamin Nachman

European Physical Journal C
PDF \(\Biblatex\)
September 2025
Neural Posterior Unfolding (Preprint)

Fernando Torales Acosta, Jay Chan, Krish Desai, Vinicius Mikuni, Benjamin Nachman, and Jingjing Pan

arXiv:2509.06370
PDF \(\Biblatex\)
August 2025
Machine Learning Methods for Cross Section Measurements

Krish Desai

University of California, Berkeley
PhD (Physics) Dissertation
PDF \(\Biblatex\)
December 2024
Moment Unfolding using Deep Learning

Krish Desai, Benjamin Nachman, and Jesse Thaler

Physical Review D
PDF \(\Biblatex\)
December 2024
Neural Posterior Unfolding

Fernando Torales Acosta, Jay Chan, Krish Desai, Vinicius Mikuni, Benjamin Nachman, and Jingjing Pan

Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), ML4PS Track
PDF \(\Biblatex\)
December 2024
Multidimensional Deconvolution with Profiling

Huanbiao Zhu, Krish Desai, Mikael Kuusela, Vinicius Mikuni, Benjamin Nachman, and Larry Wasserman

Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), ML4PS Track
PDF \(\Biblatex\)
December 2022
Deconvolving Detector Effects for Distribution Moments

Krish Desai, Benjamin Nachman, and Jesse Thaler

Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), ML4PS Track
PDF \(\Biblatex\)
May 2022
SymmetryGAN

Krish Desai, Benjamin Nachman, and Jesse Thaler

Physical Review D
PDF \(\Biblatex\)
December 2021
Oblivious Points on Translation Surfaces

Ian Adelstein, Krish Desai, Anthony Ji, and Grace Zdeblick

Journal of Mathematical Physics
PDF \(\Biblatex\)
December 2021
Symmetry Discovery with Deep Learning

Krish Desai, Benjamin Nachman, and Jesse Thaler

Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), ML4PS Track
PDF \(\Biblatex\)
May 2020
Padé Approximants and the Anharmonic Oscillator

Krish Desai

Yale University
BS and MS (Mathematics, Intensive) Thesis
PDF \(\Biblatex\)

Honors & Fellowships

2025
Full Member of Sigma Xi
Sigma Xi
Election to the nation's oldest academic honor society
2020
Howard L. Schultz Prize
Yale University
The most outstanding graduating senior in physics
2020
Distinction in Mathematics
Yale University
2020
Distinction in Physics
Yale University
2020
Lifetime Member of Sigma Pi Sigma
Sigma Pi Sigma
Election to the national physics honor society
2020
George J. Schulz Summer Fellowship
Yale University Chapter
2019
Howard Robert Topol Fellowship
Yale University
2018
James A. Helzer Fellowship
Yale University
2018
SUMRY Fellowship
Yale University
2018
Yale First-Year Research Fellowship
Yale University
2018
Benjamin F. Barge Prize
Yale University
Most outstanding first-year student in mathematics

Talks

May 2025
Machine Learning Methods for Cross Section Measurements
PhD Dissertation Defense
Berkeley, CA
December 2024
Multidimensional Deconvolution with Profiling
Thirty-Eighth Annual Conference on Neural Information Processing Systems
Vancouver, Canada
December 2024
Neural Posterior Unfolding
Thirty-Eighth Annual Conference on Neural Information Processing Systems
Vancouver, Canada
July 2024
CMS Seminar
CERN
Geneva, Switzerland
June 2024
Moment extraction using an unfolding protocol without binning
PHY-STAT Unfolding Conference
Paris, France
December 2022
Deconvolving Detector Effects for Distribution Moments
Thirty-Sixth Annual Conference on Neural Information Processing Systems
New Orleans, USA
November 2022
Moment Unfolding with Deep Learning
Machine Learning for Jets
New Brunswick, NJ
June 2022
High Energy Physics Seminar
Korea Institute for Advanced Study
Seoul, South Korea
April 2022
Moment Unfolding using Deep Learning
American Physical Society
New York, NY
December 2021
Symmetry Discovery with Deep Learning
Thirty-Fifth Annual Conference on Neural Information Processing Systems
Virtual
November 2021
Introduction to Symmetry Discovery and Deep Learning
Berkeley Compass Lecture
Berkeley, CA
October 2021
Symmetry Discovery and Deep Learning
Clarifai Perceive Deep Learning AI Conference
Virtual
July 2021
SymmetryGAN
Machine Learning for Jets
Heidelberg, Germany
April 2021
Symmetry Discovery using Machine Learning
American Physical Society
Virtual
April 2021
Symmetry Discovery
Lawrence Berkeley National Laboratory, Physics Division Seminar
Virtual
August 2019
Closed Geodesics on Translation Surfaces
Massachusetts Undergraduate Research Conference
Amherst, MA
July 2019
Oblivious Points on Translation Surfaces
Young Mathematicians Conference
Columbus, OH

Teaching

Fall 2024
PHYSICS 88: Data Science Applications in Physics
Associate Instructor
University of California, Berkeley
Fall 2024
PHYSICS 77: Introduction to Computational Techniques in Physics
Associate Instructor
University of California, Berkeley
Summer 2024
PHYSICS 77: Introduction to Computational Techniques in Physics
Associate Instructor
University of California, Berkeley
Fall 2023
PHYSICS 89: Introduction to Mathematical Physics
Associate Instructor
University of California, Berkeley
Summer 2023
PHYSICS 77: Introduction to Computational Techniques in Physics
Associate Instructor
University of California, Berkeley
Fall 2022
PHYSICS 88: Data Science Applications in Physics
Associate Instructor
University of California, Berkeley
Fall 2022
PHYSICS 77: Introduction to Computational Techniques in Physics
Associate Instructor
University of California, Berkeley
Spring 2022
PHYSICS 8B: Introductory Physics
Head Associate Instructor
University of California, Berkeley
Summer 2021
PHYSICS 7B: Physics for Scientists and Engineers
Associate Instructor
University of California, Berkeley
Spring 2021
PHYSICS 7B: Physics for Scientists and Engineers
Associate Instructor
University of California, Berkeley
Fall 2020
PHYSICS 7B: Physics for Scientists and Engineers
Associate Instructor
University of California, Berkeley

Leadership & Service

2025
Invited Peer Reviewer
Nature, Scientific Reports
2025
Invited Peer Reviewer
Journal of High Energy Physics
2023-2025
Graduate Mentor
Math and Physical Sciences Scholars, UC Berkeley
2022, 2024, 2025
Invited Peer Reviewer
NeurIPS
2022-2024
Campus Affairs Vice President, and Rules Officer
UC Berkeley Graduate Assembly
2023
Research Mentor
UC Berkeley Physics Innovators Program
2021 – 2024
Committee Member
UC Berkeley Physics Faculty Search
2018-2019
Vice President
Yale Political Union

Skills

Programming Languages
  • Python
  • Julia
  • C
Machine Learning
  • TensorFlow/Keras
  • PyTorch
  • scikit-learn
  • Deep Learning
  • Bayesian Methods
  • Generative Models
Data Science
  • Statistical Inference
  • Bayesian Statistics
  • Monte Carlo
  • Unfolding
  • Deconvolution
Physics & Mathematics
  • Particle Physics
  • Quantum Field Theory
  • Stochastic Calculus
  • Operator Theory
  • Differential Geometry
Computing
  • HPC
  • Git
  • Docker
Languages
  • English
  • French
  • Hindi
  • Gujarati