Jasmine Norida's lab studies the physics of how organisms interact with (heterogeneous, dynamic) natural environments, and how these interactions shape organismal form and behavior. The lab asks questions that sit at the intersection of behavior, biophysics, and evolution, and uses both theoretical and experimental tools to work with a wide range of organismal systems.
Dmitriy’s work is concerned with geometric and topological data analysis, especially with the development of efficient algorithms and software in this field.
Fatma Deniz is interested in how sensory information is encoded in the brain and uses machine learning approaches to fit computational models to large-scale brain data acquired using functional magnetic resonance imaging (fMRI). Fatma works at the intersection between computer science, linguistics, music, and neuroscience. Her current focus is on the cross-modal representation of language in the human brain.
Ivana Malenica is a Ph.D. student in the Biostatistics Division working with Mark van der Laan. She earned her Master’s in Biostatistics and Bachelor’s in Mathematics, and spent a year working as a Freeport-McMoRan research fellow in Data Science and Bioinformatics at the Translational Genomics Research Institute (TGen). Some of her prior work centers around mathematical modeling and Bayesian models for allele specific expression. Very broadly, her research interests span non/...
Marsha Fenner is the Communications/Program Manager for the Berkeley Institute for Data Science. In this role, she works to connect researchers, facilitate interdisciplinary collaboration, and implement training and education programs that engage, enhance, and expand BIDS' and Berkeley’s vibrant and diverse data science community by strengthening partnerships and integrating research efforts among a wide array of disciplines and departments across campus and beyond. Fenner has managed communications, training/education/outreach programs, and administrative operations for scientific...
BIDS Alum – Assistant Project Scientist and Data Science Outreach Lead
Alex de Siqueira was a postdoctoral researcher at BIDS, working on open source algorithms for processing computed tomography (CT) 3D images. He received his MS and PhD from the State University of São Paulo, Brazil, applying image processing tools to tackle challenges in materials science and geochronology. A core developer of scikit-image, he is an open source and free software enthusiast since his first contact with Linux, in 2000, contributing to several...
Reza Eghbali received his Ph.D. in Electrical Engineering and a master's degree in Mathematics from the University of Washington, Seattle. He has a B.Sc. in Electrical Engineering from Sharif University of Technology, Tehran. Before joining Innovate For Health, Reza was a member of the machine learning and security team at Cisco Tetration Analytics, where he developed and implemented online learning algorithms for detecting network security threats in real-time. Reza was a Simons Institute Research Fellow at UC Berkeley in the 2017-18 academic year. He visited the institute for the...
Akram Bayat is a data scientist with expertise at the intersection of AI and healthcare. She was a postdoc associate at MIT Media Lab where her research focused on creating novel intersections between engineering, medical imaging, machine learning, and medicine to develop innovative high-impact patient-centered research. Bayat received her Ph.D. in computer science from the University of Massachusetts Boston. During her Ph.D. research, she worked on developing machine learning algorithms for solving real-world problems and conducted experimental studies for modeling of human physical and...