Jackson Lee

  • Program Year: 1
  • Academic Institution: Columbia University
  • Field of Study: Condensed Matter Physics
  • Academic Advisor: Andrew Millis
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    B.S. Physics, and B.S. Computer Science, Rutgers University, 2024

Publications

Lee, J., Wu, B., Carbone, M., & Yin, W. (2024, March 3-8). Machine-learning the angle-resolved spectral function of a hole in a quantum antiferromagnet [Poster presentation]. American Physical Society March Meeting, Minneapolis, Minnesota, USA.
Lee, J., Carbone, M. R., & Yin, W. (2023). Machine learning the spectral function of a hole in a quantum antiferromagnet. Physical Review B, 107(20), 205132.
Lee, J. (2023, January 24). KNN Regression and Application to Condensed Matter Theory [Invited presentation]. Brookhaven National Laboratory AI and Machine Learning Technical Tutorials Series, online.
Lee, J., & Mostame, S. (2023, August 25). Benchmarking Incremental Structural Learning [Poster presentation]. IBM QURIP Showcase, Yorktown Heights, New York, USA.
Lee, J., & Gopalakrishnan, S. (2023, July 21). Adaptive Quantum State Tomography in a Bayesian Framework [Poster presentation]. Princeton QURIP Showcase, Princeton, New Jersey, USA.
Wu, B. L., Yin, W., & Lee, J. (2023, August 18). Machine learning the spectral functions of a strongly correlated electron system [Poster presentation]. Brookhaven National Laboratory HSRP Conference, Upton, New York, USA.
Yin, W., Lee, J., & Carbone, M. R. (2023, March 5-10). Deep machine learning the spectral function of a hole in a quantum antiferromagnet [Oral talk]. American Physical Society March Meeting, Las Vegas, Nevada, USA.
Lee, J., Carbone, M. R., & Yin, W. (2022, August 11). Understanding and Predicting Photoemission Spectral Functions of a High Temperature Superconductor Model using Machine Learning [Poster presentation]. Brookhaven National Laboratory SULI Conference, Upton, New York, USA.
Lee, J., & Keeton, C. (2021, August 6). Effects of Varying Cluster Galaxy Selection on Gravitational Lensing Models [Poster presentation]. Rutgers University Aresty Summer Science Symposium, online.

Awards

2024 DOE Computational Science Graduate Fellowship
2024 NSF Graduate Research Fellowship (Declined)
2023 Barry Goldwater Scholarship, awarded to 400 students nationally for STEM research
2023 Magidson Award, awarded to 2-3 Rutgers computer science majors for academic and research excellence
2022 Hermann Y. Carr scholarship, awarded to 2-3 Rutgers physics majors for academic excellence
2022 ORISE Ignite Off! Competition third place winner at Brookhaven National Laboratory local stage
2020 National Merit Scholar, awarded for top 1% PSAT score and academic excellence
2021-2023 Rutgers School of Arts and Sciences Excellence Award winner
2020-2023 Dean's List