Bredesen Center PhD Students

• Emily Herron - Graduated 2023
  • Topic: Generalized Differentiable Neural Architecture Search with Performance and Stability Improvements
  • Current: Postdoctoral Research Associate at ORNL/Analytics & AI Methods at Scale Group

PhD Summer Students

• Fan Chen - Summer 2018 - PhD Student - Duke University
  • Topic: Efficient Computation for Generative Adeversarial Models (Co-mentored w/ Catherine Schuman)
  • Current: Assistant Professor at Indiana University Bloomington
• Linghao Song - Summer 2018 - PhD Student - Duke University
  • Topic: Improved Deep Learning Architectures for Neutrino Vertex Reconstruction (Co-mentored w/ Catherine Schuman)
  • Current: Assistant Professor at Yale University
• Jeremy Liu - Summer 2017 - PhD Student - University of Southern California
  • Topic: Boltzmann Machines on D-Wave (Co-mentored w/ Thomas Potok)
  • Current: Senior Machine Learning Engineer
• David Isele - Summer 2016 - PhD Student - University of Pennsylvania
  • Topic: Deep learning on Titan (Co-mentored w/ Robert Patton)
  • Current: Research Scientist at Honda Research Institute USA, Inc.

Undergraduate Summer Students

• Austin Oliver - Summer 2024 - Tennessee Tech University
  • Topic: Training Neural Networks for Adversarial Robustness
  • Current: Undergraduate at Tennessee Tech University
• Jessica Mohr - Summer 2023 - Maryville College
  • Topic: Effects of Adversarial Attacks on Deep Learning Models
  • Current: Undergraduate at Maryville College
• Emily Herron - Summer 2018 - Post-Bachelors Student - Mercer University
  • Topic: Machine Learning for Information Extraction from Scholarly Publicaitons
  • Current: Postdoctoral Research Associate at ORNL/Analytics & AI Methods at Scale Group
• Aiden Rutter - Summer 2018 - Bachelors Student - University of Tennessee
  • Topic: Recurrent Deep Learning Models for Digital Communication
  • Current: Software Developer at Epic
• Albert Xue - Summer 2017 - Bachelors Student - Duke University
  • Topic: Generative Adversarial Networks
  • Current: PhD Student in Bioinformatics at UCLA
• Jeremy Poff - Summer 2017 - Bachelors Student - University of Tennessee
  • Topic: Recurrent Neural Networks for Text Extraction
  • Current: Software Engineer
• Parker Mitchell - Summer 2017 - Bachelors Student - University of Tennessee
  • Topic: Deep learning on FPGAs (Co-mentored w/ Catherine Schuman)
  • Current: Senior Hardware Engineer at Microsoft
• Adam Terwilliger - Summer 2016 - Bachelors Student - Grand Valley State University
  • Topic: Deep Learning Applied to Neutrino Detector Data
  • Current: Data Scientist at Rank One Computing
• Allison Cabo - Summer 2015 - Bachelors Student - Allegheny College
  • Topic: Time Similarity Metric for Cyber Data (Co-mentored with Justin Beaver)
  • Current: Data scientist at U.S. Government

High School Students

• Vivaan Singhvi - Summer 2024 - Farragut High School (Knox County, TN)
  • Topic: Adversarial Image Detection
  • Current: BS Student at University of Michigan
• Katie Nuchols - Summer 2018 - Clinton High School (Anderson County, TN)
  • Topic: Machine Learning Analysis of Summit Supercomputing Benchmark Data (Co-mentored with Catherine Schuman)
  • Current: BS Student at University of Tennessee