Machine Learning

Oleksandr Volkov

My name is Oleksandr Volkov. I am a Data Scientist and Machine Learning Engineer with a strong background in software engineering, statistics, and applied research. After graduating with honors in Software Engineering from Taras Shevchenko National University of Kyiv, I am now pursuing a Master’s degree in Statistics with a specialization in Machine Learning at the University of California, Berkeley. I am particularly interested in the intersection of applied statistics, machine learning, AI, and cloud technologies, and how these can be leveraged to solve complex economic and...

Jasmine Guan

Jasmine is a Master of Analytics student in the IEOR department. She previously worked at Verisk Analytics as a Data Scientist, with main focus on machine learning in text classification, fraud detection, and satellite image processing. As a Domain Consultant, she works on data transfer and management. Her main interests are in Machine Learning, Optimization, and Database Management.

Luis Rangel DaCosta

Luis Rangel DaCosta is a Ph.D. student in Materials Science and Engineering and a domain consultant with Research IT. He focuses on developing new techniques for characterizing (nano)materials with transmission electron microscopy, using machine learning and scientific 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...

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...

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...