Kristofer Bouchard (Principal Investigator)
Computational Biology Staff Scientist
PI, Neural Systems and Data Science Lab, Biological Systems & Engineering Division, LBNL
Group Lead, Computational Biosciences Group, Computational Research Divisions, LBNL
Assistant Adjunct Professor, Helen Wills Neuroscience Institute & Redwood Center for Theoretical Neuroscience, UC Berkeley
Matthew Wright (Mechanical Engineering Post-Doc, LBNL)
Research Focus: Multimodal deep learning foundation models for protein enhancement, computer vision for electron microscopy
Ankit Kumar (Physics Post-Doc; UCB)
Research Focus: Applications of statistical mechanics, control theory, and information theory to neural data analysis
Shafeeq Ibrahem (EECS Graduate Student; UCB)
Research Focus: Multimodal deep learning foundation models for protein enhancement
Kailin Zhuang (Neuroscience Graduate Student, UCB)
Research Focus: Unsupervised mapping of brain->behavior dynamics, complexity of vocalizations in birds, bats, and humans
Chad Harper (Physics Graduate Student, UCB)
Research Focus: Information theoretic methods for modeling biological neuron I/O transformation complexity
Jerry Jin (Statistics Graduate Student, UCB)
Research Focus: Neural network models of feedback control
Hrvoje Kukina (Mathematics Graduate Student, TUW)
Research Focus: Novel statistical methods for non-linear systems identification
Ayse Sila Okcu (Engineering Graduate Student, Cambridge University)
Research Focus: AI models with feedback controllability objective functions for brain decoding
Yao Xu (Research Associate, LBNL)
Research Focus: Graph-theoretic methods for network function and structure, data-driven machine learning methods for TBI prognosis
Nicholas Chin (Research Associate, LBNL)
Research Focus: Distributed cortical representation of natural sounds
Current Undergraduates/Interns:
Joel Ye (CMU)
AYSE SILA OKCU (EECS and Math @Koç University, Turkey)
Edourad Koehn (EPFL)
Key Collaborators:
Sharmodeep Bhattacharyya (OSU): Statistical data analysis
Oliver Rubel and Andrew Tritt (LBNL): Data standardization (NWB:N)
Jan Balewski (NERSC) & Roy-Ben Shalom: Deep learning for neuronal conductance inference
Dan Feldman (UCB): Laminar origin of cortical surface electrical potentials
Former Lab Members, Interns, and Undergraduates:
Charles Frye (GSRA, UCB Neuroscience)
Max Dougherty (RA UCB CS)
Brian Gereke (neurophysiology post-doc)
Rui Meng (statistics post-doc)
Vyassa Baratham (UCB Physics GSRA)
Pratik Sachdeva (UCB Physics GSRA)
Jesse Livezey (UCB Physics GSRA, physics post-doc)
Ji Hyun Bak (physics post-doc)
John Hermiz (neural engineering post-doc)
Brett Nelson (UCB Neuroscience GRSA)
Jacob Yeung (UCB CS)
Sylvia Meadow (UCB Neuroscience GRSA)
Sugeerth Murugesan (UC Davis CS)
James Arnemann (UCB Physics)
Eric Dodds (UCB Phsyics)
Shashanka Ubaru (UMinn CS)
Chris Ki (UCB CS)
Anurag Rao (Applied Math @ UCB)
Sonika Vuyyuru (Computer Science and Cognitive Science @ UCB)
Aljawharah Alrasheed (Data Science and Cognitive Science @ UCB)
Vitto Resnick (UCB)
Aisha Khandelwal (UCB)
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