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Juan Gomez

Headshot of Juan Gomez
Program Year:
4
University:
Harvard University
Field of Study:
Information Theory/Machine Learning
Advisor:
Flavio Calmon
Degree(s):
B.S. Physics, California Institute of Technology, 2020
Personal URL:
felipe-gomez.com

Practicum Experience(s)

Princeton Plasma Physics Laboratory (2024)

Practicum Supervisor(s):
William
Tang
Practicum Title:
Transformers for multi-scale time-series classification and application to disruption prediction in fusion devices

Princeton Plasma Physics Laboratory (2023)

Practicum Supervisor(s):
William
Tang
Practicum Title:
Transformers for multi-scale time-series classification and application to disruption prediction in fusion devices

Annual Program Review Abstracts

Fellow Poster
: Attack-Aware Noise Calibration for Private Machine Learning (
2024
)
Fellow Poster
: Deep Learning With Differential Privacy and the Saddle Point (
2023
)
Fellow Poster
: Deep Learning With Differential Privacy and the Saddle Point Accountant (
2022
)

Publications

J.F. Gomez, B. Kulynych, G. Kaissis, J. Hayes, B. Balle, and A. Honkela. $(varepsilon, delta)$ considered harmful: Best practices for reporting differential privacy guarantees. arXiv preprint arXiv:2503.10945, 2025.

B. Kulynych, J. F. Gomez, G. Kaissis, F. P. Calmon, and C. Troncoso, "Attack-Aware Noise Calibration for Differential Privacy," arXiv preprint arXiv:2407.02191, 2024.

J.F. Gomez, Caio Machado, Lucas Monteiro Paes, and Flavio Calmon. 2024. Algorithmic Arbitrariness in Content Moderation. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). Association for Computing Machinery, New York, NY, USA, 2234-2253. https://doi.org/10.1145/3630106.3659036

W. Alghamdi, J. F. Gomez, S. Asoodeh, F. Calmon, O. Kosut, and L. Sankar, "The Saddle-Point Method in Differential Privacy," in *Proceedings of the 40th International Conference on Machine Learning*, Jul. 2023, vol. 202, pp. 508-528. [Online]. Available: https://proceedings.mlr.press/v202/alghamdi23a.html

W. Alghamdi, S. Asoodeh, F. P. Calmon, J. F. Gomez, O. Kosut and L. Sankar, "Schrodinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity," 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2023, pp. 2201-2206, doi: 10.1109/ISIT54713.2023.10206616.

W. Alghamdi, S. Asoodeh, F. P. Calmon, J. F. Gomez, O. Kosut and L. Sankar, "Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime," 2023 IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2023, pp. 2195-2200, doi: 10.1109/ISIT54713.2023.10206658.

Wang, Y., Lee, P.A., Silevitch, D.M., Gomez F. et al. Antisymmetric linear magnetoresistance and the planar Hall effect. Nat Commun 11, 216 (2020). https://doi.org/10.1038/s41467-019-14057-6

Awards

Goldwater Scholar, April 2019
For my research involving the observation of odd-parity magneto-resistance in industrial magnets, I was one of two Caltech students who were nominated and subsequently won the Goldwater Scholarship.

Featured in BreakThrough Caltech, August 2018
For my research and impact on the Caltech and Pasadena community, my story was featured in Breakthrough Caltech, a magazine that features promising scholars who also are leaders in the Caltech community.
Link: https://breakthrough.caltech.edu/magazine/2018-aug/#article-A-Quantum-Life-

Mellon Mays Undergraduate Fellow, March 2018
For my academic achievement and research with Hsieh Lab, I became one of eight MMUF fellows in Caltech.

Perpall SURF Speaking Competition Finalist, January 2018
For the clarity and conciseness of my presentation of my SURF project in Hsieh Lab, I was awarded second place in the Perpall Speaking Competition, a Caltech competition which features 550 students presenting their summer work in front of a panel of judges.