Daniel Wong, PhD
Grad Student, bioinformatics (2018-2022). Daniel studied Computer Science and Biochemistry at UC Berkeley, and was in a PhD program within the Integrative Program in Quantitative Biology. He is interested in developing machine learning methodologies in improving human health, particularly in the fields of neurodegeneration and pharmacology. Daniel was co-mentored in the Butte Lab.
- Prototype of running clinical trials in an untrustworthy environment using blockchain. , Bhattacharya S, Butte, AJ. Nat Commun. 2019 Feb 22.
- Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding. Newberry RW, Arhar T, Costello J, … , Wong G, Redding S, Chow ED, DeGrado WF, Kampmann M. ACS Chem Biol. 2020 Aug 21.
Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeutics.
Wong DR, Conrad J, Johnson N, Ayers JI, Laeremans A, Lee JC, Lee J, Prusiner SB, Bandyopadhyay S, Butte AJ, Paras NA, Keiser MJ. Nat Mach Intell. 2022 May 30.
Deep learning from multiple experts improves identification of amyloid neuropathologies.
Wong DR, Tang Z, Mew NC, Das S, Athey J, McAleese KE, Kofler JK, Flanagan ME, Borys E, White CL 3rd, Butte AJ, Dugger BN, Keiser MJ. Acta Neuropathol Commun. 2022 Apr 28.