July 2026: Dr. Wang received a new NSF grant (2601682) as PI for the collaborative project “MFAI: Conformality-Guided Learning with Evolving and Heterogeneous Data,” jointly supported with the linked NSF award 2601681 under the NSF Mathematical Foundations of Artificial Intelligence (MFAI) program. This multidisciplinary project brings together expertise in statistics, computer science, and operations research to develop principled learning and uncertainty quantification methods for evolving and heterogeneous data in AI systems.
July 2026: Dr. Wang is serving as Co-PI on the newly funded Rice Ken Kennedy Institute Research Cluster (07/01/2026-06/30/2027), “Causal, Network-Aware, and Uncertainty-Quantified AI in Social Systems,” led by PI Corey Abramson (Sociology). The interdisciplinary team includes Co-Is Jiaqi Li (Statistics), Guillaume Pouliot (Economics), and Cindy Zhang (Statistics), and Associates Jing Chen (Psychological Sciences), Elizabeth Roberto (Sociology), and Tianjun Sun (Psychological Sciences). The project brings together expertise across statistics, machine learning, causal inference, economics, sociology, and human-AI interaction to advance responsible AI research in social systems.
May 2026: Congratulations to Dr. Jilei Lin on graduating from the GW Department of Statistics! Jilei will soon begin a postdoctoral fellowship at UT MD Anderson Cancer Center. Wishing him continued success in this exciting next chapter!
January 2026: Dr. Wang and her collaborator Dr. Wenyi Wang from UT MD Anderson received a Cancer Bioengineering Collaborative Seed Grant for their collaborative project on conformal inference for immunotherapy benefit prediction. The project aims to develop statistically rigorous methods for quantifying uncertainty in predicting which patients are likely to benefit from immunotherapy, with the potential to inform more reliable and personalized cancer treatment decisions. The Cancer Bioengineering Collaborative is a joint initiative of Rice University and The University of Texas MD Anderson Cancer Center.
October 2025: Dr. Wang became a Member of Ken Kennedy Institute. Look forward to collaborations!
July 2025: Dr. Wang joined Department of Statistics at Rice University as Professor and Chair, and William Marsh Rice Trustee Professor in Data Science.
May 2025: Samuel Hoam and Sean Dalby passed the PhD readiness exams. Congratulations!
April 2025: Dr. Wang graduated from GWALA (GW’s Academic Leadership Academy).
March 2025: Jilei Lin receives the Student Poster Award in the StatConnect 2025 conference. Congratulations!
October 2024: Professors Tatiyana Apanasovich and Huixia Judy Wang received a PIT-UN Network Challenge Grant Award, “Data Science for Health Equity and Environmental Resilience Bootcamp,” which will support the team in developing and hosting a four-week data science bootcamp for a diverse cohort of students. See the PIT-UN award information, the news release from GW today, and the report in GW Hatchet.
September 2024: Dr. Wang received a new NSF grant (DMS-2436216) as the lead PI for a collaborative project titled “Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification.” See more information here and the NSF New Release.
September 2024: Dr. Wang has been appointed as Chair of the IMS Committee on Equality and Diversity, effective September 1, 2024. She is excited to collaborate with other committee members and lead efforts to promote diversity, inclusion, equal opportunity, fairness, and transparency in IMS policies and procedures.
August 2024: Dr. Wang has received a new NSF grant (DMS-2426174) as PI for her project titled “Collaborative Research: Unlocking Complex Heterogeneity in Large Spatial-Temporal Data with Scalable Quantile Learning." The project is a joint collaboration with Prof. Lily Wang from George Mason University (under grant DMS-2426173), supported by the NSF CDS&E-MSS program. Read the news article about this joint project.
June 2024: Jilei Lin presented a poster titled 'Smoothed Quantile Regression for Spatial Data' at the 2024 ICSA Applied Statistics Symposium in Nashville, Tennessee.
March 2024: Menghan Yi won the best poster award at the Georges' STAT DAY 2024.
August 2023: Dr. Wang has begun serving as the co-editor of Statistica Sinica for a three-year term.
August 2023: Dr. Wang has begun serving on the IMS Committee on Finance for a three-year term.
June 2023: Dr. Wang has been elected to the IMS Council, with her term running from August 2023 to July 2026.
June 2023: Dr. Wang was named the 2023 Mitchell Distinguished Lecturer by the University of Glasgow and delivered a lecture titled "Semiparametric Approaches for Studying Extreme Conditional Quantiles" on June 13, 2023.
February 2023: Sean Dalby and Xinyue Zhao received the AAAS Section U Student Travel Awards. Congratulations!
August 2022: Dr. Wang was selected as the recipient of the 2022 Medallion Award and Lecture from the Institute of Mathematical Statistics (IMS), and delivered a lecture on "Extreme Conditional Quantiles" on August 10, 2022. Watch the video at: https://www.youtube.com/watch?v=vYJXxXKIvX0