I work on artificial intelligence research and development at Apple with a focus on natural language processing (NLP). In 2019, I took a degree in applied mathematics from UC Berkeley.
I previously served as the UC Student Advisor, a nonvoting member of the Regents of the University of California. During my term, I represented over 270,000 students and other stakeholders on the Board.
My research interests have led me to work with NASA, the Santa Fe Institute and UC Berkeley on topics in biology, mathematics, and computer science. My ongoing projects are focused on multi-domain data selection in NLP and synergy theory in radiobiology.
Google Scholar: DlUurWMAAAAJ
Huang EG & Sachs RK. (2020) Commentary on ”Simulating galactic cosmic ray effects: Synergy modeling of murine tumor prevalence after exposure to two one-ion beams in rapid sequence”. Life Sciences in Space Research.
Huang EG, Yang RY, Xie LY, Chang PY, Yao G, Zhang B, Ham DW, Lin Y, Blakely EA, & Sachs RK. (2020) Simulating galactic cosmic ray effects: Synergy modeling of murine tumor prevalence after exposure to two one-ion beams in rapid sequence. Life Sciences in Space Research.
Huang EG, Lin Y, Ebert M, Ham DW, Zhang CY, & Sachs RK. (2019) Synergy theory for murine Harderian gland tumours after irradiation by mixtures of high-energy ionized atomic nuclei. Radiation and Environmental Biophysics. 58(2): 151-166.
Krehenwinkel H, Fong M, Kennedy S, Huang EG, Suzuki N, Cayetano L, & Gillespie RG. (2018) The effect of DNA degradation bias in passive sampling devices on metabarcoding studies of arthropod communities and their associated microbiota. PLoS ONE 13(1): e0189188.