I am a Computational Mathematician in Laboratory for Applied Mathematics, Numerical Software, and Statistics, Mathematics and Computer Science Division at Argonne National Laboratory, and a Senior Scientist at-Large at the University of Chicago Consortium for Advanced Science and Engineering. My research focuses on federated learning algorithms and software development, as well as modeling and numerical algorithms for large-scale optimization on high-performance computing systems and GPUs. My work is applied to areas including electric grid systems, healthcare, and key scientific domains of interest to the Department of Energy. Before joining Argonne, I obtained a Ph.D. degree in Industrial Engineering and Management Sciences from Northwestern University (my academic tree). I am a recipient of DOE Early Career Research Program award. I serve as associate editors in Mathematical Programming Computation and Naval Research Logistics and board members for COIN-OR Foundation and IISE Energy Systems.
- See my Google Scholar page for publications.
- See my GitHub page for software packages.
- Check out the website for our privacy-preserving federated learning project.
My research in a few words (Last update: October 2024):
Awards and Honors
- IEEE Senior Member, 2022
- IMPACT Argonne Award (Computing, Environment and Life Sciences directorate), September 2021
- IMPACT Argonne Award (Energy and Global Security directorate), August 2021
- Early Career Research Program, US Department of Energy, 2019
- George L. Nemhauser Best Student Paper, Northwestern University, 2014
- Best Poster Award (selected among nearly 2,000 posters), American College of Cardiology’s 61st Annual Scientific Session & Expo, 2012
Media
- Argonne receives funding for artificial intelligence in scientific research, Oct 2024
- Presentation at the DOE ASCAC Meeting, Sep 2024
- Mentioned by the DOE Under Secretary, May 2024
- Highlighted at the DOE ASCAC Meeting, Sep 2023
- Highlighted at the DOE ASCAC Meeting, Mar 2022
- SIAG/OPT Views and News, Dec 2021
- Banishing blackouts, Oct 2020
- How does AI improve grid performance? No one fully understands and that’s limiting its use, Nov 2019
- New funding awarded to two early career scientists, Aug 2019
- Artificial Intelligence Can Make the U.S. Electric Grid Smarter, Jun 2019
Advisees
Postdoctoral Appointees
- Yijiang Li (2023–present)
- Charikleia Iakovidou (2022–present)
- Hideaki Nakao (2021–2024)
- Minseok Ryu (2020–2023)
- Geunyeong Byeon (2020)
- Bowen Li (2019–2023; with Sven Leyffer)
- Anirudh Subramanyam (2018–2022; with Mihai Anitescu)
- Brian Dandurand (2017–2020)
Predoctoral Appointees
- Miao Li (2022–2023; with Mihai Anitescu)
- Yuxuan Ren (2021–2022; with Mihai Anitescu)
- Jisung Hwang (2020–2021; with Mihai Anitescu)
Ph.D. Interns
- Guangji Bai (Emory, 2024; with Yijiang Li) ; Xu Chen (Columbia, 2024) ; Shuai Li (Georgia Tech, 2024) ; Shourya Bose (UC Santa Clara, 2024, 2023) ; Weiqi Zhang (University of Wisconsin-Madison, 2022) ; Rachael Alfant (Rice University, 2022) ; Nick Dodd (Arizona State University, 2022) ; Jiaze Ma (University of Wisconsin-Madison, 2022) ; Ashutosh Shukla (University of Texas-Austin, 2022) ; Sayed A. Sadat (University of Utah, 2021) ; Sihan Zeng (Georgia Tech, 2021) ; Haoming Shen (University of Michigan, 2021) ; Can Li (Carnegie Mellon University, 2020) ; Sayed A. Sadat (University of Utah, 2020) ; Weiqi Zhang (University of Wisconsin, 2020) ; Hideaki Nakao (University of Michigan, 2020) ; Yingqiu Zhang (Virginia Tech, 2020) ; Junyi Tu (University of South Florida, 2019; with Michel Schanen) ; Jie Zhang (Virginia Tech, 2019) ; Mohamed El Tonbari (Georgia Tech, 2019, 2018) ; Cheolmin Kim (Northwestern University, 2018) ; Rui Ray Liu (Georgia Tech, 2018; with Mihai Anitescu) ; Liu Su (University of South Florida, 2018) ; Youngkyu Cho (Pohang University of Science and Technology, Korea, 2018) ; Gokce Kahvecioglu (Northwestern University, 2016) ; Jordan Jalving (University of Wisconsin-Madison, 2016) ; Christian Tjandraatmadja (Carnegie Mellon University, 2015)