Chase Goddard

ABOUT

I'm a physics PhD student at Princeton University working in ML theory.

EDUCATION

PhD, Physics
Princeton University, Graduate School
PhD in machine learning theory, advised by Prof. David Schwab and Prof. William Bialek.
Courses Taught

Classical MechanicsPHY 203
Graduate Preliminary Exam Prep ClassesPHY 503, 504, 513, 514
Introductory E&MPHY 104
Computational PhysicsPHY 209
BiophysicsPHY 563

Sept 2019 — Present

Master of Arts, Physics
Princeton University, Graduate School

Sept 2019 — Sept 2021

Bachelor of Arts, Physics & Computer Science
Cornell University, College of Arts and Sciences
Honors: magna cum laude (GPA 3.87)
Courses Taught

Machine LearningCS 4780
Mathematics for Data ScienceCS 4850

Aug 2015 — May 2019


PUBLICATIONS

Specialization-generalization transition in exemplar-based in-context learning
Chase Goddard, Lindsay M. Smith, Vudtiwat Ngampruetikorn, David J. Schwab
Published in the SciForDL workshop at NeurIPS 2024.

Dec 2024

Model Recycling: Model component reuse to promote in-context learning
Lindsay M. Smith, Chase Goddard, Vudtiwat Ngampruetikorn, David J. Schwab
Published in the SciForDL workshop at NeurIPS 2024.

Dec 2024

Testing for the continuous spectrum of x rays predicted to accompany the photoejection of an atomic inner-shell electron
Philip Jacobson, Andrija Rasovic, Arthur Campello, Chase Goddard, Matthew Dykes, Yuchao Chen, J. Y. Peter Ko, Stanislav Stoupin, Gwen Gardner, Justin Oh, and Carl Franck
Published in Physical Review A.

Oct 2021


WORK

Research Assistant
Cornell Laboratory for Elementary and Particle Physics (LEPP)
Cornell Laboratory for Accelerator Based Sciences and Education (CLASSE)

Worked with Professor Julia Thom on the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider. Worked on physics analysis code to detect Higgs production in association with top quarks. Wrote finite-element analysis (FEA) software to simulate heat transfer from two-phase carbon dioxide flow in the CMS forward pixel detector cooling system, integrating MATLAB and ANSYS code.

August 2017 - May 2019
Ithaca, NY

Research Assistant
CERN, CMS Experiment

Summer research assistant for the CMS experiment with the Cornell group.

June 2018 - July 2018
Geneva, Switzerland

Research Assistant
Cornell Laboratory for Atomic and Solid State Physics (LASSP)
Cornell Laboratory for Accelerator Based Sciences And Education (CLASSE)

Worked with Professor Carl Franck on new techniques for X-ray spectroscopy. Developed a data analysis library for coincidence experiments using Python and MATLAB and analyzed data from experiments done at the Cornell High Energy Synchrotron Source (CHESS).

August 2016 - December 2017
Ithaca, NY

Data Science Intern
Bruce Henderson Institute, Boston Consulting Group

Worked with PhD researchers in an internal think tank to build a database of financial and other data. Wrote code to automatically update the database each year. Performed analyses and prepared reports on this data intended for publication in Harvard Business Review and Fortune Magazine. As of 2017, the work has been used to help compile the Fortune Future 50 .

May 2016 - Aug 2016
New York, NY


SELECTED COURSEWORK
Physics
Computational PhysicsPHYS 4480, Cornell
Statistical ThermodynamicsPHYS 4230, Cornell
Advanced Experimental PhysicsPHYS 4410, Cornell
Quantum Mechanics IPHYS 6572, Cornell
Particle PhysicsPHYS 4444, Cornell
Quantum Field TheoryPHY 509, Princeton
BiophysicsPHY 562, Princeton
General RelativityPHY 523, Princeton
Statistical Mechanics for Biological NetworksQCB 505, Princeton

Computer Science
Mathematics for the Information Age (Foundations of Data Science)CS 4850, Cornell
Machine Learning for Intelligent SystemsCS 4780, Cornell
Foundations of Artificial IntelligenceCS 4700, Cornell
Practicum in Artificial IntelligenceCS 4701, Cornell
Introduction to AlgorithmsCS 4820, Cornell
Operating SystemsCS 4410, Cornell
Deep Learning Theory ORF 543, Princeton

Mathematics
Mathematical PhysicsAEP 4210, Cornell
Matrix GroupsMATH 4500, Cornell
Optimization on Smooth ManifoldsMAT 588, Princeton