Chris Paciorek is a statistical computing consultant and adjunct professor in the Department of Statistics. He also serves part-time as a user consultant for Berkeley Research Computing.
Areas of expertise: high-performance computing, cloud computing, and programming for data analysis/data science/statistics.
In his research, Chris works on statistical methods, often Bayesian methods, applied to environmental and public health problems, including climate science, ecology, and global health. In recent years, he has taught graduate classes on statistical computing and...
Fengchen just joined the group as a Science IT Consultant. Prior to joining the Lab, he worked at a Fintech company as a senior AI Engineer, at RMS (Risk Management Solutions) as a Software Engineer, and at UC San Francisco for 7 years on computational epidemiology using HPC. His research background (researchgate.net/profile/fengchen_liu) includes predictive models of infectious diseases and control of epidemic disease