Rahul Biswas is a Postdoctoral Scholar at UCSF working in Computational Neurology contributing to basic as well as clinical neurosciences. Rahul has a PhD in Electrical and Computer Engineering from the University of Washington, Seattle. His doctoral research developed novel methods for inferring causal brain networks from neural time series, and determines causal brain network dynamics in mice brain under various visual stimuli and human brain in Alzheimer’s disease.
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FounderKaneva Consulting IncSan Francisco, Ca, Us -
Postdoctoral ScholarUniversity Of California, San Francisco Jul 2024 - Present -
Doctoral ResearcherUniversity Of Washington, Department Of Electrical & Computer Engineering Apr 2019 - Jun 2024Seattle, Washington, United States• Developed novel methods to infer causal brain network from neural activity time series• Demonstrated application in benchmarks, mice brain, and human brain in Alzheimer’s disease -
Predoctoral Teaching AssociateUniversity Of Washington Sep 2016 - Jun 2024Seattle, Washington, United States -
Graduate StudentUniversity Of Washington Sep 2016 - Sep 2019Greater Seattle AreaRelevant coursework: Causal Modeling, Statistical Learning, Machine Learning from Big Data, Stochastic Modeling of Scientific Data, Advanced Regression Techniques. -
Research InternDepartment Of Statistics, Columbia University May 2015 - Jul 2015In this project, we develop a method to identify the two substructures: shells and streams, from two-dimensional projected positions of a data cloud of stars. Studying these structures provide answers to fundamental questions in astronomy such as (a) how often do the smaller galaxies merge into larger ones, and (b) what is the structure or locus of the debris. -
Research AssistantIndian Statistical Instiute, Kolkata Jul 2014 - May 2015In my master's dissertation, advised by Dr. Anil Ghosh, I developed a novel hypothesis test of dissimilarity between two samples based on nearest neighbors, which is consistent in high dimension low sample size setting, using a new class of distance functions (Sarkar, Biswas, & Ghosh, 2020). -
Research InternJohns Hopkins Bloomberg School Of Public Health May 2014 - Jul 2014Baltimore, Maryland AreaAdvised by Dr. Xiangrong Kong, used functional data clustering methods to characterize bacterial vaginosis patterns among subjects in Rakai Community Cohort Study and identified pattern-specific risk factors leading to clinically interesting conclusions. -
Research InternIndian Statistical Institute, Bangalore May 2013 - Jun 2013Bangalore, IndiaIn BS final year, advised by Dr. Kaushik Majumdar, I worked on a novel synchronization measure for multiple signals, that was able to reflect the onset and duration of epileptic seizures from EEG data with greater accuracy than classical amplitude correlation (Biswas et. al, 2014). -
Nius ScholarTata Institute Of Fundamental Research Jun 2012 - Jul 2012Mumbai Area, IndiaAttended this workshop on recent topics in physics as part of the National Initiative for Undergraduate Students (NIUS) Fellowship, India.
Rahul Biswas Education Details
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Electrical And Computer Engineering -
Master Of Science - Ms -
Indian Statistical InstituteStatistics -
Statistics
Frequently Asked Questions about Rahul Biswas
What company does Rahul Biswas work for?
Rahul Biswas works for Kaneva Consulting Inc
What is Rahul Biswas's role at the current company?
Rahul Biswas's current role is Founder.
What schools did Rahul Biswas attend?
Rahul Biswas attended University Of Washington, University Of Washington, Indian Statistical Institute, Indian Statistical Institute.
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