Spring Banquet 2022

The 2022 Spring Banquet was held on April 15, 2022 at the University Club on the University of Pittsburgh’s campus.

The banquet featured a poster presentation session (including a student poster contest for the Mihaela Serban Award) at 5-6PM; a keynote banquet speech delivered by Dr. Kathryn Roeder, the UPMC Professor of Statistics and Life Sciences in the Departments of Statistics and Data Science and Computational Biology at CMU (6-7PM); presentation of student awards; recognition of various Chapter members’ accomplishments in the 2021-2022 academic year; and concluded with the presentation of the 2022 Statistician of the Year award.

Student of the Year Awards

Ron Yurko, Department of Statistics and Data Science, Carnegie Mellon University
Siyu Zhou, Department of Statistics, University of Pittsburgh
Yichen Jia, Department of Biostatistics, University of Pittsburgh

Mihaela Serban Award

Jian Zou, Department of Biostatistics, University of Pittsburgh

Statistician of the Year

Chad M. Schafer, Department of Statistics and Data Science, Carnegie Mellon University

Statistician of the Year 2021

Jong-Hyeon Jeong
Professor
Biostatistics,
University of Pittsburgh


Dr. Jeong is professor and interim chair of biostatistics at the University of Pittsburgh. He has made significant contributions to biostatistical education, research, and leadership in the statistics community in Pittsburgh and at large. He graduated 6 MS and 11 PhDs and is currently working with two PhD students. He also played a critical role in the growth, development, and modernization of the graduate programs at Pitt Biostatistics. His efforts have led to two new concentrations in MS program, Health Data Science, and Statistical and Computational genomics. Dr. Jeong maintains outstanding research programs in time-to-event data analysis, clinical trials, and statistical learning for precision medicine. He single-authored or co-authored three books and currently serves on the editorial board for Lifetime Data Analysis. Dr. Jeong is also active in our profession. He has served on the ASA career development committee, board of director for Korean International Statistical society, and as interim chair has supported ENAR’s coalition for junior researchers and various activities of the ASA Pittsburgh chapter.  

Spring Banquet 2021

The 2021 ASA Pittsburgh Chapter Banquet is a virtual event on Friday, April 23. The banquet features a keynote speech by Dr. Bin Yu, Berkeley Statistics, Electrical Engineering & Computer Sciences; a student poster session and presentation of student awards; various recognition of Chapter member’s awards and honors; and the presentation of the 2021 Statistician of the Year.

See the event poster here.

Keynote Speaker

Bin Yu
Chancellor’s Distinguished Professor
Class of 1936 Second Chair
Department of Statistics
Electrical Engineering and Computer Sciences
UC Berkeley

Talk Title: Veridical Data Science for biomedical discovery: detecting epistatic interactions with epiTree.

Abstract:

“A.I. is like nuclear energy — both promising and
dangerous” — Bill Gates, 2019.

Data Science is a pillar of A.I. and has driven most of recent cutting-edge discoveries in biomedical research. In practice, Data Science has a life cycle (DSLC) that includes problem formulation, data collection, data cleaning, modeling, result interpretation and the drawing of conclusions. Human judgment calls are ubiquitous at every step of this process, e.g., in choosing data cleaning methods, predictive algorithms and data perturbations. Such judgment calls are often responsible for the “dangers” of A.I. To maximally mitigate these dangers, we developed a framework based on three core principles: Predictability, Computability and Stability (PCS). Through a workflow and documentation (in R Markdown or Jupyter Notebook) that allows one to manage the whole DSLC, the PCS framework unifies, streamlines and expands on the best practices of machine learning and statistics – bringing us a step forward towards veridical Data Science.

In this lecture, we will illustrate the PCS framework through the epiTree; a pipeline to discover epistasis interactions from genomics data. epiTree addresses issues of scaling of penetrance through decision trees, significance calling through PCS p-values, and combinatorial search over interactions through iterative random forests (which is a special case of PCS). Using UK Biobank data, we validate the epiTree pipeline through an application to the red-hair phenotype, where several genes are known to display epistatic interactions.

Biography

Bin Yu is Chancellor’s Distinguished Professor and Class of 1936 Second Chair in the departments of statistics and EECS at UC Berkeley. She leads the Yu Group which consists of 15-20 students and postdocs from Statistics and EECS. She was formally trained as a statistician, but her research extends beyond the realm of statistics. Together with her group, her work has leveraged new computational developments to solve important scientific problems by combining novel statistical machine learning approaches with the domain expertise of her many collaborators in neuroscience, genomics and precision medicine.She and her team develop relevant theory to understand random forests and deep learning for insight into and guidance for practice.

She is a member of the U.S. National Academy of Sciences and of the American Academy of Arts and Sciences. She is Past President of the Institute of Mathematical Statistics (IMS), Guggenheim Fellow, Tukey Memorial Lecturer of the Bernoulli Society, Rietz Lecturer of IMS, and a COPSS E. L. Scott prize winner.

She is serving on the editorial board of Proceedings of National Academy of Sciences (PNAS) and the scientific advisory committee of the UK Turing Institute for Data Science and AI.

Statistician of the Year 2020

Yu Cheng
Professor
Department of Statistics,
University of Pittsburgh

Dr. Yu Cheng of University of Pittsburgh is the 2020 ASA Pittsburgh Chapter Statistician of the Year. Dr. Cheng received her MS in Statistics from National University of Singapore in 2001, and her PhD in Statistics from University of Wisconsin-Madison in 2006. She is currently a full professor at the Department of Statistics.

Dr. Cheng’s methodological research focuses on dynamic treatment strategies, disease classification, risk evaluation and screening, quantile association, and regression and association analyses of competing risks data. Meanwhile Dr. Cheng has been actively involved in diverse areas of psychiatric research including Alzheimer’s disease, HIV/AIDS, and perinatal weight and impulsive phenotypes.

Dr. Cheng served the statistics community extensively with variety of roles ranging from a member of the editorial board for prominent statistics journals, an ad-hoc reviewer for the NSF, NSA, and the NIMH, Co-Chair of the Local Organizing Committee for the Conference on Lifetime Data Science (LiDS) held in Pittsburgh, May 2019, and President of the ASA Pittsburgh Chapter 2014-2015. Dr. Cheng’s pursuit of excellence and fairness and her dedication to the statistical community in Pittsburgh exemplify the core values of our statistical society.

Students of the Year 2020

Kayla Frisoli
Department of Statistics & Data Science,
Carnegie Mellon University

Wei Peng
Department of Statistics,
University of Pittsburgh

Peng Liu
Department of Biostatistics,
University of Pittsburgh