The Laboratory Research Computing (LRC) and Scientific Cluster Support (SCS) programs are managed by the ScienceIT Department (also known as the High Performance Services group) within the IT Division at Berkeley Lab. These services are available for all LBNL Principal Investigators (PIs) and their collaborators. Currently, more than 1400 scientists across over 800 research projects use our facilities to perform basic scientific research across a wide range of disciplines, including climate modeling, research into new advanced materials, simulations of the early universe, analysis of data from astrophysics sky surveys, carbon geosequestration, geochemistry, and a host of other scientific endeavors.
ScienceIT also manages the high performance computing service for the UC Berkeley Research Computing program. This service, offering and supporting access to UC Berkeley’s Savio Institutional/Condo Cluster, is intended to provide Berkeley’s campus researchers with state-of-the-art, professionally-administered computing systems and ancillary infrastructure. Beyond its central mission of meeting the campus’s computational research needs, some auxiliary benefits of the cluster include improving competitiveness on grants which favor or require institutional resources, providing an incentive for recruitment and retention, and achieving significant economies of scale with centralized computing systems and data center facilities.

ScienceIT Department Photo, June 2025
Department Head
Wei Feinstein| WFeinstein@lbl.gov
Staff
Saroj Adhikari | SAdihikari@lbl.gov
Kuldeep Chawla | KChawla@lbl.gov
Abhiram Chintangal | AChintangal@lbl.gov
Karen Fernsler | KMFernsler@lbl.gov
Tim Fong | tyfong@lbl.gov

Gary Jung | GMJung@lbl.gov
Tin Ho | tin@lbl.gov
Tin Ho is a HPC Systems Engineer who joined the group in 2017 and was responsible for putting LR5, the latest generation of the Lawrencium cluster, through the acceptance tests and into production. He finds working on the computing system for the GRETA project, a next-generation gamma-ray detector, especially inspiring as it will require using technologies that will last into the 2030s. Prior to coming to the Lab, he worked in the pharmaceutical and software industries.
Edison Lam | elam3@lbl.gov
Edison Lam is a Linux Systems and Cluster Administrator. He started as a student intern supporting the HPC systems at the Berkeley Labs. Prior to the lab, Edison was a Linux Systems Administrator at a vertical mall located in Japantown San Francisco. He is a Red Hat Certified Systems Administrator.
During his free time, he enjoys attending local tech meetups, volunteering at conferences and exploring bicycle routes in the Bay Area.

Fengchen Liu | FengchenLiu@lbl.gov
Fengchen joined Berkeley Lab in 2020 as a Science IT Consultant, specializing in AI and data science solutions for scientific research computing. Prior to joining the Lab, he worked as a Senior AI Engineer at a Fintech company and as a Software Engineer at RMS (Risk Management Solutions). He also spent 7 years at UC San Francisco working on computational epidemiology, utilizing both on-premise and cloud-based HPC resources. His research background includes predictive models of infectious diseases and control of epidemic disease through contact investigation. You can view his research work at Google Scholar.Fengchen recently completed the Artificial Intelligence Professional Program at Stanford University (certificate available here). He is also pursuing a Master of Information and Data Science at UC Berkeley. He holds a master’s degree in Computer Science from Beihang University and was a visiting scholar at UC Berkeley.Fengchen continues to collaborate with UCSF on epidemiological modeling projects using agent-based simulations. In his free time, he enjoys reading, hiking, and playing tennis.
Henrik Nordberg | hnordberg@lbl.gov
Henrik first joined the Lab in 1995 as a visiting researcher in the Nuclear Science Division, where he developed software for visualizing nuclear structure data. In 1997, he transitioned to the Data Management R&D group in the Computer Science Division, focusing on data infrastructure planning for experiments at the LHC at CERN and RHIC. In 1998, Henrik co-founded Jitterbit, a data integration and workflow company, where he served as Chief Software Architect and VP of Engineering for ten years. He later returned to the Lab from 2008 to 2014 to work on the Genome Portal at the JGI, followed by nine years as a Principal Software Engineer at Optum. His technical interests include computer hardware, Large Language Models and Machine Learning. Outside of work, Henrik is an avid audiophile and a dedicated photographer. Henrik holds a Master of Science in Theoretical Physics, Lund University, Lund, Sweden & UC Berkeley.
Andrew Schmeder | AWSchmeder@lbl.gov
Andrew is a ScienceIT Consultant leading the ScienceIT’s delivery of AI tools to researchers. He comes with a diverse background in pure & applied mathematics, full-stack engineering, real-time signal processing, and startup entrepreneurship. His work has been published in 10 granted patents and 25 technical papers on a variety of topics including real-time networking, multi-channel audio systems, machine learning, human-computer interaction and human vision enhancement. Prior to joining Berkeley Lab, Andrew was a Co-founder & CEO/CTO at EnChroma, Inc. – a Berkeley-based startup company creating an advanced optical filter for correction of color vision deficiency, and previously served in research staff research positions at UC Berkeley’s Center for New Music and Audio Technologies (CNMAT) and the Hafter Auditory Perception Lab. He holds a BA in Pure Mathematics from UC Berkeley (2002), and is a recipient of the SBIR Tibbets Award (2016) and the East Bay Innovation Award (2020).
Sapana Soni | SSoni@lbl.gov
Torben Wriedt | TOWriedt@lbl.gov
When he’s not at work he spends much of his time outdoors. He enjoys hiking, cycling, rock climbing, and wildlife photography.

Steven Wong | SJWong@lbl.gov
Contact Us
Office Hours
We hold weekly office hours for drop-in consulting help every Wednesday from 10:30am to Noon at Building 50B-3209 suite or virtual consultation via zoom. Please come with your laptop if you would like our help.
