Welcome-Jiangeng Huang

Welcome-Jiangeng Huang

Jiangeng "Victor" Huang

[Google Scholar] [LinkedIn] [Email] [Bitbucket] [GitHub]

Currently, I am a statistician working on late-stage clinical development in oncology at AbbVie.

For research, I develop and apply statistical methods in experimentation (computer experiments and clinical trials), Bayesian statistics, and uncertainty quantification.

Experience:

Senior Manager, Statistics, Oncology, AbbVie, 2023-now
Senior Statistical Scientist, Oncology, 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 in statistical methodology:

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]
A frequentist approach to dynamic borrowing, with Ruilin Li, Ray Lin, Lu Tian, and Jiawen Zhu. [Biometrical Journal]

Selected teaching in statistics:

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
Mary G. and Joseph Natrella Scholarship, 2019

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