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Aaron Philip

Headshot of Aaron Philip
Program Year:
1
University:
Massachusetts Institute of Technology
Field of Study:
Physics
Advisor:
William Detmold
Degree(s):
B.S. Physics, and B.S. Mathematics, Michigan State University, 2026

Publications

Papers:
Philip, A., Giuliani, P., Godbey, K. 2026. Bayesian Inference for Extracting Barrier Distributions from Fusion Excitation Functions. arXiv preprint arXiv:2607.14422.

Philip, A. Extracting Barrier Distributions from Fusion Cross Sections. 2026. arXiv preprint arXiv:2607.07551

Si, B., Philip, A., Wei, Y., & Qian, J. 2024. High-Order Accurate Adjoint-State Methods for Three-Dimensional High-Resolution First-Arrival Traveltime Tomography. Journal of Computational Physics, Vol. 524, 113715, 0021-999.https://doi.org/10.1016/j.jcp.2024.113715

Pan, X., Philip, A., Xie, Z., & Schwartz, O. 2024. Dissecting Query-Key Interaction in Vision Transformers. NeurIPS 2024 Main Conference Spotlight Paper.

Philip, A., Zhou, G., & Nebgen, B. 2022. Using Machine Learning Hamiltonians to Compute Molecular Motor Barrier Heights. arXiv preprint arXiv:2211.07181.

Presentations:
Philip, A., Giuliani, P., Godbey, K. (2024). Operator Learning for Nuclear Spatio-Temporal Fields. Oral Presentation at 2024 Rice University Gulf Coast Undergraduate Research Symposium. 2024 November 9. Houston, TX.

Philip, A., Giuliani, P., Godbey, K. (2024). Emulating Nuclear Spatio-Temporal Fields Across Model Parameters Using Operator Learning. CEU Oral Presentation at 2024 Fall Meeting of the APS Division of Nuclear Physics. 2024 October 8. Boston, MA.

Philip, A. Pan, X., Xie, Z., & Schwartz, O. (2024). Dissecting Query-Key Interaction in Vision Transformers. Spotlight Oral Presentation at ICML 2024 Workshop on Mechanistic Interpretability. 2024 July 27. Vienna, Austria.

Philip, A., & Nebgen, B. (2022). Computing Barrier Heights of Molecular Motors using ML. LA-UR-22-28285. Oral presentation presented at: 2022 LANL Theoretical Division Lightning Talk Series, 2022 August 9, Los Alamos, NM.

Philip, A., Zhou, G. & Nebgen, B. (2021). Transition Path Search for a Light-Driven Molecular Motor. Oral presentation presented at: 2021 LANL Theoretical Division Lightning Talk Series, 2021 August 26, Los Alamos, NM.
Philip, A., Giuliani, P., Godbey, K. (2025). Extracting Barrier Distributions from Fusion Cross Sections. CEU Poster Presentation at 2025 Fall Meeting of the APS Division of Nuclear Physics. 2025 October 18. Chicago, IL.

Philip, A., Pan, X., & Schwartz, O. (2023). Probing Vision Transformer Attention: Image Statistics and Patch Similarity. Poster session presented at: 2023 University of Miami Computer Science REU Poster Presentation, July 2023, Miami, FL.

Philip, A., Giuliani, P., Godbey, K., Nazarewicz, W. (2023). ML Dimensionality Reduction Applied to Emulating Nuclear Systems. Poster session presented at: 25th University Undergraduate Research and Arts Forum, April 2023, East Lansing, MI.

Philip, A., Zhou, G., & Nebgen, B. (2021). Transition Path Search for a Light-Driven Molecular Motor. LA-UR-21-32409. Poster session presented at: Lab Directed Research and Development Review, 2021 December 7, Los Alamos, NM.

Awards

MIT Dean of Science Fellow (declined for CSGF, 2026)
Barry Goldwater Scholar (2024)
Alumni Distinguished Scholar, Michigan State University (2022)
Fulbright Canada-Mitacs Globalink Research Intern (2025)
McCartney Endowed Educational Scholarship, Department of Mathematics, Michigan State University (2025)
L.C. Plant Mathematics Scholarship, Department of Mathematics, Michigan State University (2023)
National Merit Finalist, UT Battelle (2022)
J. Robert Oppenheimer Memorial Committee Scholar (2022)
Member, Honor College, Michigan State University (2022-2026)
All Semester Dean's List, Michigan State University (2022-2025)