About
I'm a software engineer at Google working on Search Ads targeting. During my time at Alphabet, I contributed to reinforcement learning (RL) projects at DeepMind in addition to my core work.
Previously I worked on natural language processing (NLP) & large language models (LLMs) at Apple AI/ML for open domain question answering. Before that, I studied mathematics at Berkeley and served as a nonvoting member of the UC Regents.
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Google Scholar: DlUurWMAAAAJ
ORCID: 0000-0001-9306-9581
Research
Sachs RK, Huang EG, Hanin LG. (2023) Mathematical aspects of a new synergy theory applicable to malstressor-dominated mixtures which include damage-ameliorating countermeasures. Radiation Research.
doi:10.1667/RADE-22-00189.1
Longpre S, Reisler J, Huang EG, Lu Y, Frank A, Ramesh N, & DuBois C. (2022) Active learning over multiple domains in natural language tasks. NeurIPS 2022 DistShift Workshop.
arXiv:2202.00254
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.
doi:10.1016/j.lssr.2020.03.007
2022 COSPAR Outstanding Paper Award for Young Scientists
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.
doi:10.1016/j.lssr.2020.01.001
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.
doi:10.1007/s00411-018-00774-x
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.
doi:10.1371/journal.pone.0189188