We are excited to highlight that Whyjay Zheng, a Berkeley Statistics postdoctoral fellow, has created an improved model of glacial movement that was recently featured in the Berkeley News. The model was published in the journal The Cryosphere.
Whyjay is currently working with Fernando Pérez.
Director of Student Services La Shana Porlaris and Director of Administration Laura Slakey received Excellence in Management (EIM) awards at a campus ceremony Tuesday, May 3, 2022. The EIM award honors exemplary managers and supervisors who have led their teams and team members to meaningful accomplishments this past year.
We are excited to share that Professor Rasmus Nielsen has been elected to the National Academy of Sciences! He is one of six Berkeley faculty members that were elected this year in recognition of their achievements in research. Election to the National Academy of Sciences is a mark of excellence in science and is considered to be one of the highest honors that a scientist can receive. Congrats Professor Nielsen!
We are excited to share that Dr. Bin Yu, the Chancellor's Distinguished Professor in Berkeley Statistics and Electrical Engineering & Computer Sciences at Cal, and the former president of the Institute of Mathematical Statistics, will be honored at the 38th ASA Quality and Productivity Research Conference (QPRC)! This conference will take place from June 13-16, 2022 at San Francisco State University and will surround the theme of Data, Statistics, and Responsibility.
We are excited to share that several Berkeley Statistic graduate students - Tiffany Ding, Emily Flanagan, Karissa Huang, Drew Nguyen, Andy Shen - have been awarded the National Science Foundation Graduate Research Fellowship Program! This prestigious fellowship supports outstanding graduate students in NSF-supported STEM disciplines and is one of the oldest of its kind. Congratulations bears!
Professor Sam Pimentel has recently been awarded a National Science Foundation (NSF) Career Award, the NSF's most prestigious award in support of early-career faculty! This award will be funding his project, "Integrating Optimal Design and Inference for Modern Observational Studies," which aims to develop new methods for inference about causal relationships in large administrative datasets. Congratulations!
Haiyan Huang, Professor, University of California, Berkeley, has been named Fellow of the Institute of Mathematical Statistics (IMS). Dr. Huang received the award for outstanding research in applied statistics, computational biology and applied probability and major contributions to institutional establishment of computational biology within data science.
The most recent graduate program rankings for the U.S. News have been released! Our campus is one among 800 institutions with graduate schools surveyed, along with over 2100 graduate programs. Though Berkeley programs can be found at the top of the list for a variety of disciplines, ranging from psychology to earth sciences, we are especially happy to share that our graduate program at Berkeley Statistics has been ranked No. 2 nationally!
We are excited to announce that Professor Bin Yu has been selected to deliver the 2023 Wald Memorial Lectures, which will be held at the Joint Statistical Meetings (JSM). The Wald Lecturer is chosen annually by the IMS Committee on Special Lectures and is the highest honor bestowed by the Institute of Mathematical Statistics (IMS). Bin Yu joins a list of distinguished Berkeley colleagues who have received this honor, including her two PhD mentors, Lucien LeCam and Terry Speed.
By Tiffany Lohwater and Julie Gipple
We are excited to announce that Deb Nolan, who is an emeritus professor UC Berkeley Statistics and a former associate dean for undergraduate education at the Division of Computing, Data Science, and Society (CDSS), is back at CDSS! She has returned as Associate Dean for Faculty for the spring 2022 semester.
Read more about the exciting news at this link.
We are thrilled to announce that Associate Professor Elizabeth Purdom is among the second cohort of scientists to be named Chan Zuckerberg Biohub Investigators following a competition for individual awards. The first competition for individual awards was held in 2016, for awards beginning 2017, and a competition for team-based awards was held in 2018.
We are excited to share that the 2021 Line and Michel Loève International Prize in Probability has been awarded to Ivan Corwin of Columbia University. This prize commemorates Michel Loève, a Professor at the University of California, Berkeley from 1948 until his untimely death in 1979. The Prize was established by his widow, Line, shortly before her death in 1992.
We are very excited to share the work that Sandrine Dudoit, Elizabeth Purdom, and their current and former students (Boying Gong, Davide Risso, Hector Roux de Bézieux, Kelly Street, and Koen Van den Berge) helped on to roll out the very first comprehensive atlas of brain cells.
We are excited to share that Professor Bin Yu has been chosen to be the Campion (President's Invited) Lecturer at this September's Royal Statistical Society Conference!
Earlier this summer, UC Berkeley undergraduate Richard Yu presented his research on predicting the NBA draft to the Sacramento Kings Basketball analytics team and members of the front office, over Zoom (screenshots below).
Alumnus Wing Wong (B.A. 1976), was recognized with the 2021 COPSS Distinguished Achievement Award and Lectureship for his groundbreaking and fundamental contributions to statistical theory and applications, particularly in likelihood inference, Monte Carlo computation, Bayesian statistics, and computational biology.
About the Award
We are pleased to share the news that Jennifer Chayes has received the ACM Distinguished Service Award “for her effective leadership, mentorship, and dedication to diversity during her distinguished career of computer science research, teaching, and institution building”
From the ACM Announcement:
Prof. Bin Yu was honored as one of the most influential researchers of her time in Statistics and Data Science, for the excellence and impact of her work, and for her major contributions to the development and advancement of machine learning.
