Yao Xie

Jie Wang
Ph.D. student (Fall 2020-)
B.Sc. in Pure Mathematics
The Chinese University of Hong Kong, ShenZhen.

Runner-Up, INFORMS ICS Student Paper Award, 2024.
Finalist, INFORMS Data Mining Society Best Student Paper Competition, 2024.
ISIT Student Travel Grant, 2024.
Winner, 18th INFORMS DMDA Workshop Best Paper Competition - Theoretical Track, 2023.
Robert Goodell Brown Research Excellence Award, ISyE, GT, 2022.
Winner, INFORMS Poster Competition, 2022.

Matthew Repasky
Ph.D. student (Fall 2021-)
B.Sc. in Physics.
Georgia Tech.
President’s Undergraduate Research Salary Award (PURA), 2021.

Tingnan Gong
Ph.D. student (Fall 2021-)
Co-advised with Prof. Seong-Hee Kim.
B.Sc. in Statistics.
University of Science and Technology of China (USTC).

Finalist, Best Paper Competition, 2024 ICQSR Conference.

"Jay" Junghwan Lee
Ph.D. student (Fall 2022-)
M.A. in Statistics, Columbia University.
B.S. in Systems Management Engineering, Sungkyunkwan University.

"Scott" Hanyang Jiang
Ph.D. student (Fall 2022-)
M.Sc. in Computational and Applied Math, University of Chicago.
B.Sc. in Statistics, Peking University.

Jonghyeok Lee
Ph.D. student (Fall 2023-)
B.S. in Statistics and Mathematical Sciences, Seoul National University.

Yunqin "Vinci" Zhu
Ph.D. student (Fall 2024-)
B.Eng. in Artificial Intelligence, Univiersity of Science and Technology of China (USTC).
Guo Moruo Scholarship, USTC.

Jonathan Zhou
B. Sc. Computer Science, Georgia Tech.
Fall 2021 - current.
Undergraduate Poster Award, Georgia Statistics Day 2024.
President’s Undergraduate Research Salary Award (PURA), Fall 2022, Fall 2023.

Lasya Akshara
B. Sc. ISyE, Georgia Tech.
Spring 2023 - current.
President’s Undergraduate Research Salary Award (PURA), Fall 2023.

Chen Xu
First Job: Research Scientist at Toyota Research Institute.
Thesis: Conformal prediction for time-series and flow-based generative models.

Ph.D. student (Fall 2020-Spring 2025)
B.Sc. in Computational and Applied Mathematics (CAM), and Economics.
M.Sc. in Statistics, University of Chicago.

NeurIPS 2023 Scholar Award.
Runner Up, Best Paper Award at IJCAI 2023, AI for Time Series Workshop.

Zheng Dong
First Job: Applied Scientist at Amazon.
Thesis: Spatio-temporal event modeling through deep kernel-based point processes.

Ph.D. student (Spring 2021-Fall 2024)
B.Sc. in Statistics, Special Class of Gifted Young (SCGY).
University of Science and Technology of China (USTC).

First Place, Doctoral Student Poster Award, Georgia Statistics Day 2024.
Finalist, INFORMS QSR best student paper competition, 2023.
Finalist, 18th INFORMS DMDA Workshop Best Paper Competition - Applied Track, 2023.
Winner, 17th INFORMS Data Mining & Decision Analytics Workshop, Applied Best Paper Competition, 2022.
Runner-Up, INFORMS Poster Competition, 2022.

Jeffrey R. Smith
First Job: Assistant Professor at Air Force Institute of Technology.
Thesis: Enhancing medical decision support systems for sepsis patients in the ICU: Real-time detection and algorithmic bias mitigation.

Ph.D. student (Fall 2021-Fall 2024)
B.Sc. in ME, MBA, Auburn University.
M.Sc. in Operations Research, Air Force Institute of Technology.

First Place, Student Paper Competition, AMIA 2022 Annual Symposium.

Haoyun Wang
First Job: Five Rings.
Thesis: Statistical estimation, uncertainty quantification, and detection for Hawkes processes.

Ph.D. student (Fall 2019-Fall 2024)
B.Sc. in CS, Andrew Chi-Chih Yao's pilot class, Tsinghua University.

Song Wei
First Job: Data Scientist at Databricks.
Thesis: Change-point detection and causal inference for time series with applications in healthcare.

Ph.D. student (Fall 2019-Spring 2024)
B.Sc. in Statistics, Special Class of Gifted Young (SCGY).

SIGKDD Student Travel Award, 2023.
Guo Moruo Award, University of Science and Technology of China (USTC).

Henry Shaowu Yuchi (Co-advising with Prof. Jeff C.-F. Wu)
First Job: Scientist at Los Alamos National Lab (LANL).
Thesis: New Gaussian process modeling for low-rank and simulated data.

Ph.D. student (Fall 2018-Spring 2023)
B.Sc., Master in Engineering, Cambridge University.

INFORMS QSR Best Student Paper, Finalist, 2022.
SPES + Q&P Student Paper Competition, Finalist, 2021.
IDEaS-TRIAD Research Scholarship, 2020.

Minghe Zhang
First Job: ByteDance. Currently: Research Scientist at Meta.
Thesis: Statistical learning and change detection for dynamic networks.

Ph.D. student (Fall 2019-Spring 2023)
Master in ECE, Georgia Tech (2017-2019)
B.Sc. in Electronic Engineering, Tsinghua University.

"Woody" Shixiang Zhu
First Job: Tenure-Track Assistant Professor at Carnegie Mellon University.
Thesis: Statistical learning and decision making for spatio-temporal data.

Ph.D. student (Fall 2017-Summer 2022), visiting student (Fall 2016-Spring 2017)
B.Sc., M.Sc. in Computer Science, Beijing University of Posts and Telecommunications.

Wagner Prize, Finalist, 2021.
Excellent Poster Award, Georgia Statistics Day, 2021.
Best Paper Award (Honorable Mention), ICML Time Series Workshop 2021.
GT @ ML Fellowship, 2021.
George Leadership Development Fellow, 2021.
Second Place, Best Paper for INFORMS Workshop on Data Mining and Decision Analytics, 2020.
Second Place, INFORMS "Doing Good with Good OR" Paper Competition, 2019.
Best Poster Award at the IMA Workshop on Forecasting from Complexity, 2018.

Liyan Xie
First Job: Assistant Professor at CUHK, Shen Zhen.
Current Job: Assistant Professor at the University of Minnesota, School of Industrial and Systems Engineering.
Thesis: Robust statistical inference through the lens of optimization

Ph.D. student (Fall 2016-Summer 2021)
B.Sc. in Mathematics, University of Science and Technology of China.

ISyE Research Excellence Award, 2021.
Outstanding Graduate Teaching Assistant Award, 2021.
"Rising Stars 2020" Workshop, 2020.
IDEaS-TRIAD Research Scholarship, 2020.
TRIAD-ARC Research Scholarship, 2019.
Runner-up, INFORMS Computing Society Student Paper Prize, 2019.
Finalist, INFORMS QSR best student paper competition, 2019.

Rui Zhang (Co-advising with Prof. Alexander Shapiro)
First Job: Morgan Stanley.
Thesis: Hypothesis test for manifolds and networks.

Ph.D. student (Fall 2017-Spring 2021)
M.Sc. in Statistics, University of Michigan.
B.Sc. in Mathematics and Statistics, Sun Yat-sen University.

ICASSP Best Student Paper Award, 2019.

Xi He (Co-advising with Prof. Pinar Keskinocak)
First Job: Applied Scientist at Amazon.
Thesis: Statistical detection and survival analysis with applications in sensor networks and healthcare.

Ph.D. student (Fall 2015-Summer 2020)
M.Sc. in Management Science, Cambridge University.
B.Sc. in Mathematics, University of Richmond.

Shuang Li (co-advising with Prof. Le Song)
First Job: Postdoc at Harvard University, Statistics.
Currently: Assistant Professor, Tenure-Track Assistant Professor at CUHK, Shen Zhen.
Thesis: Statistical inference, modeling, and learning of point processes.

Ph.D. student (Fall 2014-Summer 2019)
M.Sc. in Electrical Engineering, University of Massachusetts, Amherst.
B.Sc. in Automation, University of Science and Technology of China.

Finalist for the 2018 INFORMS QSR best student paper competition.
Finalist for the 2018 INFORMS Social Media Analytics Best Student Paper Competition.
Winner of Alice and John Jarvis Ph.D. Student Research Award, Honorable Mention, 2016.

Junzhuo Chen (Co-advising with Prof. Seong-Hee Kim)
First Job: Applied Scientist at Uber.
Thesis: Spatio-temporal change-point detection and constrained Bayesian optimization.

Ph.D. in IE (Fall 2015-Spring 2019)
B.Sc. in Industrial Engineering, Shanghai Jiao Tong University.

Finalists for the 2017 INFORMS QSR best student paper competition.

Yang Cao
First Job: Applied Scientist at Uber.
Thesis: Poisson matrix completion and change-point detection problems.

Ph.D. in IE (Statistics) (Fall 2013-Spring 2018).
B.Sc. in Mathematics, University of Science and Technology of China.

Winner of Robert Goodwell Brown Fellowship, 2015.
Winner of Georgia Statistics Day Workshop Poster Presentation Award, 2015.

Mingxiao Song
B. Sc. Computer Science, Georgia Tech.
Spring 2023 - Spring 2024.
President’s Undergraduate Research Salary Award (PURA), Spring 2024.

Giuliano Grilli Tissot
B. Sc. Industrial Engineering, Georgia Tech.
Fall 2023 - Spring 2024.

Khurram Yamin
ISyE, Georgia Tech.
President’s Undergraduate Research Salary Award (PURA), 2021.
Current Ph.D. student at CMU.

Sarah Huestis-Mitchell
M.Sc. in OR, Georgia Tech.
B.Sc. in IE, Math, University of Florida.

Ashley McDaniels
Manufacturing Engineering, North Dakota State University (NDSU).
Sure Program, Visiting Undergraduate Student, summer 2021.

Alexander Bukharin
B.Sc. ISyE, Georgia Tech, 2021.
President’s Undergraduate Research Salary Award (PURA), 2020.
College of Engineering Undergraduate Research Award, 2020

Ruyi Ding
Master in ECE, Georgia Tech
B.Sc. In Information Engineering, Zhejiang University, 2018

Moyi Guo
Master in QCF, Georgia Tech
B.Sc. in Economics and Applied Math, Tsinghua University, 2018.

Le Lu
Master in Operations Research, Georgia Tech
B.Eng. in Systems Engineering and Engineering Management, The Chinese University of Hong Kong, 2018.

Kiran Gite
ISyE, Georgia Tech.

Yuvaneshwar Murugesan
ISyE and CS, Georgia Tech.

Joshua Gundugollu
ISyE and CS, Georgia Tech.

Anyu Lu
Master of OR, ISyE, Georgia Tech, 2019.
B.Sc. in IOE, University of Michigan, 2018
B.Sc. in ECE, Shanghai Jiao Tong University, 2018

Simon Mak
Postdoctoral researcher
ISyE, Georgia Tech.
Currently Assistant Professor at Duke University, Department of Statistical Sciences.

Swapnil Lad
Undergraduate
ISyE, Georgia Tech.

Anunoy S. Dussa
Senior Undergraduate Student
Computer Science, Georgia Tech.

Aalok Shanbhag
Master of Analytics student
ISyE, Georgia Tech

Yijun (Emma) Wan
Undergraduate student
ISyE, Georgia Tech

Hongao Yang
Master student, Georgia Tech. Spring 2016-Spring 2017.
Project: Seismic data imaging and analytics.

Matthew Lau
Ph.D. student (CS), Georgia Tech.
B.Sc. in Mathematics, Georgia Tech, 2022.