Professor Karen McKinnon was named as a 2021 Packard Fellow for Science and Engineering. This year’s class features 20 innovative early-career scientists and engineers, who will each receive $875,000 over five years to pursue their research. Professor McKinnon uses the tools of climate dynamics, statistics, and machine learning to describe, understand, and predict climate variability with the goal of reducing uncertainty about the future climate.

You can read more, and meet the other Packard Fellows, at this link.

Please join me congratulating Professor McKinnon for receiving the prestigious Packard Fellowship.

Arash’s research is primarily in statistical machine learning, in particular, inference on network data, high-dimensional statistics, graphical models and convex optimization.

Chad has joint appointments in the Department of Statistics and the Department of Political Science. His work in statistics focuses on causal inference and machine learning methods.

Both promotions are effective July 1, 2021 and come with tenure. Please congratulate Arash and Chad for their tenure promotions.

Greg was commended for his “invaluable participation and methodology” and his “knowledge, time, and creativity to design the best system” as quoted by (our MAS Industry partner), the LDC Inc.’s Executive President, Ana Valdez. You can find the 2021 LDC Media Report on this webpage.