Mst Afsana Mimi, pursuing a Ph.D. in Statistics at UMass Amherst.
Yu Wang, pursuing a Ph.D. in Statistics at UMass Amherst.
Kwame Osei Tutu, pursuing a Ph.D. in Mathematics at UMass Amherst.
Santiago Neira Lopez, pursuing a Ph.D. in Mathematics at UMass Amherst.
Jonathan Rossignol, pursuing dual B.S. degrees in Mathematics and Computer Science.
Yuanxing Cheng, Ph.D in Applied Mathematics. Graduated in Summer 2025 from Illinois Institute of Technology (co-advised by Professor Chun Liu at Illinois Tech). Thesis title: Gaussian Process Regression in High-Dimensional and Structured Domains: Variational Inference and Active Learning on Manifolds.
Van Ngoc Thuy La, Ph.D in Biology. Graduate in the Fall of 2024 from Illinois Institute of Technology. (Kang was her co-advisor, and Professor David Minh was her main advisor at Illinois Tech.) Thesis title: Estimation of Kinetic Parameters of the Coronavirus Main Protease by Bayesian Regression and Utility for Drug Design.
Yindong Chen, Ph.D in Applied Mathematics. Graduated in the Summer of 2024 from Illinois Institute of Technology (co-advised by Professor Chun Liu at Illinois Tech). Thesis title: Methodology and Application of Variational Inference: A Sampling Method and Density Estimation via Maximum Mean Discrepancy.
Xiao Huang, Ph.D in Applied Mathematics. Graduated in the Fall of 2018 from Illinois Institute of Technology. Xiao had a summer internship in the MCS group of the Argonne National Lab in the Summer of 2017. Thesis title: Statistical Experimental Design and Modeling for Complex Data. First position after graduation: Senior Analyst, United Airlines. More on Xiao's story.
Yiou Li, Ph.D in Applied Mathematics. Graduated in the Summer of 2014 from Illinois Institute of Technology. (Kang was her co-advisor, and Professor Fred Hickernell was her main advisor.) Now works as an Associate Professor (with tenure) at DePaul University, Chicago. Thesis title: Topics in Statistical Modeling and Optimal Design.
Jiuhai Chen, M.S. in Applied Mathematics at IIT, graduated in Summer 2020. Thesis title: Gaussian Process Assisted Active Learning of Physical Laws.
Chunliang Zhao, M.S. in Applied Mathematics at IIT, graduated in Fall 2017. Thesis title: Predictive model for NBA Teams, Player Metrics, and Optimal Strategies for Team Lineups.
Yuan Wang, M.S. in Applied Mathematics at IIT, graduated in Spring 2017. Thesis Title: L2E Estimator for the Categorical Model with Elastic Net Penalty.
Martha Razo, M.S. in Applied Mathematics at IIT, graduated in Spring 2017. Thesis Title: Improved Maximum Likelihood Estimation for Generalized Bass Model.
Sisi Zhang, M.S. in Applied Mathematics at IIT, graduated in Summer 2014. Thesis Title: Learning the Structure of Probability Networks with Data Uncertainty.
Yin Jiang, M.S. in Applied Mathematics at IIT, graduated in Spring 2014. Thesis Title: A Review of Orthogonal Latin Hypercube Designs for Computer Experiments.
Shipeng Han, M.S. in Applied Mathematics at IIT, graduated in Spring 2014. Thesis Title: Coordinate-Exchange Algorithm Construction of Uniform Space Filling Design.
Zhefu Chen, M.S. in Applied Mathematics at IIT, graduated in Spring 2014. Thesis Title: Analysis Variation in Multistage Manufacturing Process Based On Tree Regression.
2024 Summer. Wenbo (Michael) Yuan, undergraduate student of Computer Science at UMASS Amherst. Project Name: “Subsampling Methods for Fair Classification”.
2023 Summer. Ryan Ciminsk , undergraduate student of Applied Mathematics at Illinois Tech. Project Name "Robust Regression". Ryan's work was supported by the REU supplement of my NSF Award #1916467.
2022 Spring. Kaylee Rosendahl, undergraduate student of Applied Mathematics at Illinois Tech. Project Name "Robust Regression". Kaylee's work was supported by the REU supplement of my NSF Award #1916467.
2022 Summer. Victor Samsonov from Computer Science at IIT. Project Name "Energetic Variational Inference Gaussian Process Models for Computer Experiments". Part of the SURE: Summer Undergraduate Research Experience Program
2021 Summer. Kaylee Rosendahl from Applied Math at IIT. Project Name "Clustering-Based Big Data Filtering". Part of the SURE: Summer Undergraduate Research Experience Program.
2019 Summer. Victoria Belotti, Emily Piszczek, and Somya Mittal from Applied Math and CS at IIT, Project Name "Optimal Design for Social Network".
2018 Summer. Aliza Miller, B.S. in Computer Science. Project "Using Natural Language Processing and Machine Learning to Classify Bullying in Social Media"(Winner of the CoS Poster Day Competition, AMATH undergraduate group).
2016 Summer Brazilian Scientific Mobility Program at IIT: Jose De Oliveria Lima Neto, Gabriela De Oliveira Macedo, Bruno Laiber De Pinho, Luciano Marreiro Abilio, Fabricio Trentini.
2015 Summer Brazilian Scientific Mobility Program at IIT: Annabeth Petry Radunz (B.S. in Statistics from Santa Maria, Brazil, Expected Aug 2017).
Chunfang Devon Lin, Associate Professor of the Department of Mathematics and Statistics, Queen’s University, Canada. Visiting time: August– December 2014. Collaborative project: A General Construction for Space-filling Latin Hypercubes.
Javier Cruz Salgado, a Ph.D. student from Centro de Innovaciones Aplicadas en Tecnologias Competitivas in Mexico. Visiting time: February– December 2013. Collaborative project: Comparing the Slack-Variable Mixture Model with Other Alternatives.
Alexander Chen (Illinois Mathematics and Science Academy, IMSA), 11/2018--04/2019, Student Inquiry & Research (SIR) Mentorship Program. Project Topic: Network Sampling.
Riya Zachariah (Stevenson High School, Chicago). Advised Riya’s 2015 SPARK (STEM Professionals As Resource Knowledge) Stevenson High School Summer Science Internship Project. Project Topic: Data Study of Patients with Macular Holes.
Reuben Gutmann (Stevenson High School, Chicago). Advised Reuben’s 2016 SPARK (STEM Professionals As Resource Knowledge) Stevenson High School Summer Science Internship Project. Project Topic: Stochastic k-Means Clustering Method.