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Debashis Sahoo Email & Phone Number
Associate Professor
at
UC San Diego
1 work email found
@ucsd.edu
2 phones found area 650
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Associate Professor
Location
San Diego, California, United States
Company size
Who is Debashis Sahoo? Overview
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Quick answer
Debashis Sahoo is listed as Associate Professor at UC San Diego, a company with 31563 employees, based in San Diego, California, United States. AeroLeads shows a work email signal at ucsd.edu, phone signal with area code 650, and a matched LinkedIn profile for Debashis Sahoo.
Debashis Sahoo previously worked as Assistant Professor at Uc San Diego and Founding Director at Boolean Lab. Debashis Sahoo holds Phd, Electrical Engineering from Stanford University.
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Email format at UC San Diego
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{first_initial}{last}@ucsd.edu
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Profile bio
About Debashis Sahoo
Dr. Sahoo has expertise in developing computational approaches. Dr. Sahoo worked on identifying simple Boolean relationships between gene expression values. Boolean analysis is a mathematics of two values such as 0/1, low/high. Dr. Sahoo analyze large publicly available biological datasets to identify strong Boolean rules in a particular domain such as one tissue, one species or across species between mammals. These rules are called Boolean invariant if all the data collected in that domain follow the same Boolean formula.Dr Sahoo has developed several computational approaches for analyzing gene expression dataset: (1) StepMiner, a tool that identifies step-wise transitions in the time course microarray datasets (Sahoo et al. NAR 2007), (2) BooleanNet, a method of discovering Boolean implications between genes using these large numbers of gene expression datasets (Sahoo et al. Genome Biology 2008), (3) MiDReG (Mining Developmentally Regulated Genes), a tool that uses Boolean implications to predict genes in developmental pathways (Sahoo et al. PNAS 2010), and (4) a web-based tool HEGEMON (Hierarchical Exploration of Gene Expression Microarrays ONline) that can tackle the analysis of bigdata using a browser (Dalerba, Kalisky, Sahoo et al. Nat Biotech 2011; Volkmer, Sahoo, Chin et al. PNAS 2012; Dalerba, Sahoo et al. NEJM 2016).
Listed skills include C++, Algorithms, Perl, Java, and 17 others.
Current workplace
Debashis Sahoo's current company
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Uc San Diego
8 roles · 26 years
Debashis Sahoo work experience
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Associate Professor
CurrentStudy fundamental invariant principles in normal and disease context.
Jul 2021 - Present
Assistant Professor
Developing computational approaches to understand complex human diseases including colorectal cancer, prostate cancer, and inflammatory bowel diseases.
May 2014 - Jun 2021
Founding Director
CurrentThis lab focuses on developing high-throughput data analysis techniques towards understanding complex biological processes in human normal and diseased tissues. We identify simple Boolean patterns in high-dimensional datasets and correlate them to the underlying biological processes. We have successfully applied this concept in blood stem cell.
May 2014 - Present
Siebel Fellow
Developing algorithms to characterize stem and progentor cells.To uncover the roots of human acute myelogenous leukemia and lymphoma.Predict novel functional role of genes and validate them in collaboration with various labs at Stanford.To discover diagnostic and prognostic markers of human ovarian and bladder cancer.
Aug 2009 - Apr 2014
Postdoctoral Fellow
Developed algorithms to predict novel cancer pathway and validated them using fruit fly (Drosophila melanogaster) as a model organism.Studied regulation of anti-microbial genes in Drosophila melanogaster.
Jan 2009 - Jul 2009
Summer Intern
Fujitsu Labs Of America
For the first time, we showed that exploring the Boolean state space of large state transition systems could be efficiently parallelized using multithreading [Sahoo et al. DAC 2005] (Joint work with Dr. Jawahar Jain, FLA). Our tool is being used largely in Fujitsu labs. Analysis of large Boolean state space is an extensively studied area of research and.
Jun 2004 - Sep 2004
R & D Engineer
Synopsys India (Pvt.) Ltd.
Worked for one year in Verification Technology Group in Synopsys.Involved in design, implementation and analysis of algorithms to improve the performance of VCS (a popular Verilog simulator).Achieved a speedup of 2x-6x in most of the gate level design.
2000 - 2001
~1 yr
3 education records
Debashis Sahoo education
Phd, Electrical Engineering
Ms, Electrical Engineering
Btech, Computer Science And Engineering
FAQ
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What company does Debashis Sahoo work for?
Debashis Sahoo works for UC San Diego.
What is Debashis Sahoo's role at UC San Diego?
Debashis Sahoo is listed as Associate Professor at UC San Diego.
What is Debashis Sahoo's email address?
AeroLeads has found 1 work email signal at @ucsd.edu for Debashis Sahoo at UC San Diego.
What is Debashis Sahoo's phone number?
AeroLeads has found 2 phone signal(s) with area code 650 for Debashis Sahoo at UC San Diego.
Where is Debashis Sahoo based?
Debashis Sahoo is based in San Diego, California, United States while working with UC San Diego.
What companies has Debashis Sahoo worked for?
Debashis Sahoo has worked for Uc San Diego, Boolean Lab, Stanford University, Fujitsu Labs Of America, and Synopsys India (Pvt.) Ltd..
How can I contact Debashis Sahoo?
You can use AeroLeads to view verified contact signals for Debashis Sahoo at UC San Diego, including work email, phone, and LinkedIn data when available.
What schools did Debashis Sahoo attend?
Debashis Sahoo holds Phd, Electrical Engineering from Stanford University.
What skills is Debashis Sahoo known for?
Debashis Sahoo is listed with skills including C++, Algorithms, Perl, Java, Genetics, C, Machine Learning, and Computational Biology.
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