The conference showcased the central role of statistics in shaping the age of AI and featured high-profile lectures; timely sessions on causal inference, data privacy, and omics research; and memorials honoring leaders in the field.
Microsoft
Lester Mackey
Lester Mackey’s interest in statistics unfolded when he was a student immersed in the Ross Mathematics Program, an intense eight-week summer curriculum in number theory designed to expose teenagers to proof-based mathematics. His interest in machine learning was piqued, however, when he competed for the million-dollar Netflix Prize during his senior year in college. His team lost by twenty minutes, but the experience opened the door to his future. “Every day,” Mackey noted, “I reflect on my good fortune at finding a field (machine learning) and a job (researcher) that I truly love. My work scarcely seems like work, as it’s exactly what I would be doing even if no one was paying me.”
Summary of JSM 2019 Session on Formal Privacy: Making an Impact at Large Organizations
The Committee on Privacy and Confidentiality organized a JSM session that featured four experts who have implemented formal privacy models or variants of differential privacy.
Tech Leaders Discuss Working in Industry
We asked leaders in industry to answer a few questions to help students and statistics departments better prepare for jobs in the technology industry.





