Team: Trainees

Meet the Trainees

Graduate Student
Daniel Warshofsky
Astronomy
University of Minnesota
Interest areas: Hardware and Algorithm Co-development, Multi-messenger Astrophysics
Undergraduate
Dmitri Demler
University of California San Diego
Interest areas: I am developing an automated pipeline that selects optimal neural network architectures for physics applications based on specific computational and performance requirements.
Undergraduate
Ravi Kumar
Indian Institute of Technology, Bombay
Interest areas: I am working on Simulation Based Inference (SBI) for Parameter Estimation (PE) of Gravitational Waves (GW) generated from binary coalesces of compact objects (Black Holes, Neutron Stars).
Graduate Student
Miles Cochran-Branson
Department of Physics
University of Washington
Interest areas: Hetereogenous system, High Energy Physics
Postdoc
Janina Hakenmueller
Department of Physics
Duke University
Interest areas: Multi-messenger Astronomy, High Energy physics, Data analysis
Postbac
Kira Nolan
Department of Astronomy, California Institue of Technology
Interest areas: Multi-messenger Astronomy
Postbac
Lucie Afko
Duke University Physics Department
Interest areas: High Energy Physics, Multi-messenger Astronomy
Postbac
Jada Marshall
Purdue University, Biomedical Engineering
Interest areas: Neuroscience
Postdoc
Yulei Zhang
Department of Physics
University of Washington
Interest areas: High Energy Physics
Postdoc
Patrick McCormack
Laboratory for Nuclear Science
MIT
Interest areas: High Energy Physics, Algorithms
Undergraduate
Andrew Lange
University of Minnesota
Interest areas: I am researching binary black hole mergers with the ML4GW team.
Postdoc
Jan-Frederik Schulte
Department of Physics and Astronomy
Purdue University
Interest areas: High Energy Physics, Algorithms, Hardware
Postdoc
Brian F Healy
School of Physics and Astronomy
University of Minnesota
Interest areas: Multi-messenger Astronomy, Machine Learning, Algorithms
Postdoc
Muhammed Saleem Cholayil
University of Minnesota
Interest areas: Multi-messenger Astrophysics
Graduate Student
Simon Rothman
Department of Physics
MIT
Interest areas: High Energy Physics, Machine Learning, Heterogeneous Computing
Graduate Student
SangEon Park
Department of Physics
Massachusetts Institute of Technology
Interest areas: High Energy Physics, Algorithm
Graduate Student
Rongzhe Wei
Department of Computer Science
Purdue University
Interest areas: Machine Learning Theory
Graduate Student
Shikun Liu
Department of Electrical and Computer Engineering
Georgia Institute of Technology
Interest areas: Algorithm
Graduate Student
Will Benoit
Department of Physics
University of Minnesota
Interest areas: Gravitational Waves, Multi-messenger Astrophysics
Graduate Student
Gregory Jun
Department of Electrical & Computer Engineering
University of Illinois at Urbana-Champaign
Interest areas: High-level Synthesis, Hardware Acceleration, compilers
Graduate Student
Dewen Zhong
Department of Physics
University of Illinois at Urbana-Champaign
Interest areas: High Energy Physics, Machine Learning
Graduate Student
Jared Burleson
Department of Physics
University of Illinois at Urbana-Champaign
Interest areas: High Energy Physics, Machine Learning
Graduate Student
Ethan Marx
MIT Kavli Institute
Massachusetts Institute of Technology
Interest areas: Gravitational Wave Data Analysis, Machine Learning
Undergraduate
Jinglin Li
University of Minnesota
Interest areas: I work as an open-source software developer for Skyportal, a platform designed to facilitate real-time data analysis of transient astronomical events.
Undergraduate
Donovan Clay
University of Washington
Interest areas: I am working on the HLS4ML team at UW. We research implementing neural networks in hardware on FPGAs. The inference speed of models in hardware is significantly faster than software.
Affiliated Undergraduate Student
Michael Hemmett
Westmont College
Interest areas: My current research focuses on high energy physics through my involvement with the ATLAS experiment at CERN.
Undergraduate
Cristina Andrade
Minnesota Institute for Astrophysics
Interest areas: My primary research project focused on optimizing the Vera C. Rubin Observatory's kilonova detection capabilities by analyzing LSST cadences and filter selections.
Postbac
Abby Gray
University of Minnesota
Interest areas: Multi-Messenger Astronomy
Postbac
Andy Skivington
University of California San Diego
Interest areas: High Energy Physics
Postbac
Lauren Peterson
University of Washington
Interest areas: Neuroscience
Affiliated Undergraduate Student
Mariel Peczak
Carnegie Mellon University
Interest areas: I am currently working to improve data reduction in the Compact Muon Solenoid online data filter system through the application of machine learning to optimize data compression through the use of conditional autoencoder algorithms.