Jiangeng "Victor" Huang
[Google Scholar] [LinkedIn] [Email] [Bitbucket] [GitHub]
Currently, I am a statistician working on late-stage oncology at AbbVie.
In general, my research interests include statistical computing, Bayesian inference, and design of experiments.
Experience:
Senior Statistical Scientist, Oncology Hematology, Genentech, 2020 - 2023
Visiting Assistant Professor of Statistics, University of California Santa Cruz, 2019 - 2020
Ph.D. in Statistics, Virginia Tech, Advised by Professor Robert B. Gramacy, 2015 - 2019
Selected Publications:
Replication or exploration? Sequential design for stochastic simulation experiments, with Mickaël Binois, Robert B. Gramacy, and Mike Ludkovski. [Technometrics]
On-site surrogates for large-scale calibration, with Robert B. Gramacy, Mickaël Binois, and Mirko Libraschi. [AMSBI]
Analyzing stochastic computer models: a review with opportunities, with Evan Baker, Pierre Barbillon, Arindam Fadikar, Robert B. Gramacy, Radu Herbei, David Higdon, Leah R. Johnson, Pulong Ma, Anirban Mondal, Bianica Pires, Jerome Sacks, and Vadim Sokolov. [Statistical Science]
Multi-output calibration of a honeycomb seal via on-site surrogates, with Robert B. Gramacy. [Technometrics]
Selected Teaching:
At University of California Santa Cruz:
STAT 205: Introduction to Classical Statistical Learning
STAT 203: Introduction to Probability Theory
STAT 132: Classical and Bayesian Inference
Selected Honors and Awards:
Jack Youden Prize for best expository paper on Technometrics, 2019
Selected Pictures in the Journey:
