Santiago Vargas

  • Program Year: 3
  • Academic Institution: University of California, Los Angeles
  • Field of Study: Theoretical and Computational Chemistry
  • Academic Advisor: Anastassia Alexandrova
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    B.A. Chemistry and Physics, Harvard College, 2019

Publications

Zito, A. M., Bím, D., Vargas, S., Alexandrova, A. N., & Yang, J. Y. (2022). Computational and Experimental Design of Quinones for Electrochemical CO2 Capture and Concentration. In ACS Sustainable Chemistry & Engineering (Vol. 10, Issue 34, pp. 11387–11395). American Chemical Society (ACS). https://doi.org/10.1021/acssuschemeng.2c03463

An Artificial Intelligence Framework for Optimal Drug Design
Grace Ramey, Santiago Vargas, Dinesh De Alwis, Anastassia N. Alexandrova, Joe Distefano III, Peter Bloomingdale
bioRxiv 2022.10.29.514379; doi: https://doi.org/10.1101/2022.10.29.514379


S.Vargas, M. Hannefarth, A.N. Alexandrova. Adapting Quantum Electric Density Descriptors to Predict Diels-Alder Reaction Barriers via Machine Learning.
Machine Learning to Predict Diels–Alder Reaction Barriers from the Reactant State Electron Density. Journal of Chemical Theory and Computation 2021 17 (10), 6203-6213
DOI: 10.1021/acs.jctc.1c00623


S. Vargas, S. Zamirpour, S. Menon, A. Rothman, S. Sim, T. Menke, and A. Aspuru-Guzik. Team-based Learning for Scientific Computing and Automated Experimentation: Visualization of Colored Reactions. (2019). Journal of Chemical Education



Seasonal changes in diet and toxicity in the Climbing Mantella frog (Mantella laevigata). Moskowitz, N. A.; Roland, A. B.; Fischer, E. K.; Ranaivorazo, N.; Vidoudez, C.; Aguilar, M. T.; Caldera, S. M.; Chea, J.; Cristus, M. G.; Crowdis, J. P.; Demessie, B.; Desjardins-Park, C. R.; Effenberger, A. H.; Flores, F.; Giles, M.; He, E. Y.; Izmaylov, N. S.; Lee, C. C.; Pagel, N. A.; Phu, K. K.; Rosen, L. U.; Seda, D. A.; Shen, Y.; Vargas, S.; Murray, A. W.; Abebe, E.; Trauger, S. A.; Donoso, D. A.; Vences, M.; Oconnell, L. A. 2018.

Harvard-MIT Health Science and Technology Summer Institute - Best Poster Award: Machine Learning Applied to Low Resolution Cancer Image Classification

Awards

Fulbright Research Fellowship
Cum Laude in Chemistry and Physics
Harvard College Research Program Fellowship
UCLA Competitive Edge Fellowship