I am a Ph.D. student in the Biophysics Graduate Group at the University of California, Berkeley and a member of the Berkeley Artifical Intelligence Research Lab (BAIR). I am advised by EECS Professor Jennifer Listgarten. My work focuses on developing probabilistic modeling strategies for designing biological sequences.
This summer, I am working as an AI Resident at Google X.
You can reach me at email@example.com
 D. H. Brookes, H. Park, and J. Listgarten. Conditioning by adaptive sampling for robust design. Proceedings of ICML, 2019. Selected for a 20 minute oral presentation (< 5% of submissions)
 D. H. Brookes and J. Listgarten. Design by adaptive sampling. NeurIPS Workshop on Machine Learning for Molecules and Materials, 2018.
 E. Jurrus, D. Engel, K. Star, K. Monson, J. Brandi, L. E. Felberg, D. H. Brookes, L. Wilson, J. Chen, K. Liles, M. Chun, P. Li, T. Dolinsky, R. Konecny, D. Koes, J. E. Nielsen, T. Head-Gordon, W. Geng, R. Krasny, M. Gunner, G.-W. Wei, M. J. Holst, J. A. McCammon, N. A. Baker. Improvements to the APBS biomolecular solvation software suite. Protein Sci. 27 (1), pp. 112-128, 2018.
 L. E. Felberg, D. H. Brookes, E. Jurrus, N. Baker, and T. Head-Gordon. PB-AM: An open-source, fully analytical linear Poisson-Boltzmann solver. J. Comp. Chem. 38 (15), pp. 1275-1282, 2017.
 D. H. Brookes and T. Head-Gordon. Experimental inferential structure determination of ensembles for intrinsically disordered proteins J. Am. Chem. Soc. 138 (13), pp. 4530-4538, 2016.
 D. H. Brookes and T. Head-Gordon. The family of oxygen-oxygen radial distribution functions for water. J. Phys. Chem. Lett. 6 (15), pp. 2938-2943, 2015.
 L. E. Felberg, D. H. Brookes, J. E. Rice, T. Head-Gordon, and W. Swope. Role of hydrophilicity and length of diblock arms for determining star polymer physical properties. J. Phys. Chem. B. 119 (3), pp. 944-957, 2015.