Machine Learning

Jeffrey Jacob

Jeffrey Jacob is a Research IT Domain Consultant and a current Graduate Student studying Molecular Science and Software Engineering. His current research involves tailoring Large Language Models to dissect scientific literature and predict future hotspots of research. Some of Jeffrey’s interests include Machine Learning, Bioinformatics, Computational Chemistry and High Performance Computing.

Noah Baker

Noah is a recent MPH graduate in Epidemiology and Biostatistics and is headed to UCSF's BMI PhD program. His research is focused on modeling and predicting disease, with projects in East Africa and California. As a Domain Consultant, Noah works with the clinical data collection tool REDCap and the Secure Data Research Compute (SRDC) infrastructure. He has interests in epidemiological/healthcare big data, HPC utilization, and machine learning.

Introducing the New Research Data Management (RDM) Program Website

July 25, 2022
Erin D Foster

As Service Lead of the Research Data Management (RDM) Program, I am very excited to announce the launch of the new RDM Program website! Since its beginning in 2015, the RDM Program supports and advocates for campus researchers and their research data needs. In partnership with other campus research support units, we consult with...

Gary Jung

Manager, High Performance Computing Services
Berkeley Research Computing University of California, Berkeley

Manager, High Performance Computing Services
Lawrence Berkeley National Laboratory

Jeff D'Ambrogia

Jeff is a Science IT consulting engineer who provides consulting support and services to science and technical programs at the Lab. Prior to joining the Lab, Jeff spent 5 years as the CTO for a national specialty pharmacy company, building the business from the initial founding to the sale of the company. Prior to that Jeff spent over 20 years as an IT consultant working for various startups and established companies in a...

Fengchen Liu

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...

John White

John White is an HPC Systems Engineer specializing in storage systems. He works with customers from day one of cluster design through implementation, maintenance, and eventual retirement. Most of his career has involved design and implementation of parallel file systems, but his work touches almost every aspect of HPC work within the SCG.

Tin Ho

Tin works on both the system and application support level for both the Berkeley Research Computing and LBL Scientific Computing group. Tin has interest in Bioinformatics, Drug Discovery and Geographic Information System.

Wei Feinstein

Wei Feinstein joined the HPCS team in 2018. As a user support, she has the passion of providing cutting-edge HPC technologies and services to the scientific research communities at LBNL and UC Berkeley. Prior to the Lab, she was a HPC consultant at LSU, where she assisted faculty, researchers and students from a wide range of scientific disciplines to optimize their simulation workflows, and port codes to computational accelerators, such as Intel Xeon Phi and Nvidia GPU.


Wei has a research background in computational biology and...

Christopher Hann-Soden

Christopher is a PhD bioinformatician specializing in genomics and computational biology. He provides support for HPC systems and cloud computing as a consultant with Berkeley Research Computing, and provides services for genomics experiments and data analysis as the Director for Informatics at QB3 Genomics.