Sotabase

Career

· Assistant Professor, University of California, San Diego - Jacobs School of Engineering2021–
· Postdoctoral Scholar, UC Santa Cruz Genomics Institute2019–2021
· Research Intern, Microsoft2018–2018
· Stanford Ignite, Certificate Program in Innovation and Entrepreneurship 2018, Stanford University Graduate School of Business2018–2018
· Research Intern, Qualcomm2016–2016
· Research Intern, Apple2015–2015
· Doctor of Philosophy (PhD), Electrical Engineering, Stanford University2014–2019
· Undergraduate Intern, Carnegie Mellon University2013–2013
· Undergraduate Intern, Carnegie Mellon University2012–2012
· BTech/Mtech, Electrical Engg/Microelectronics, Indian Institute of Technology, Bombay2009–2014

Publications (0)

Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic
Nature Genetics · 2021
324
cited
Domain-specific hardware accelerators
Communications of the ACM · 2020
214
cited
Darwin: A Genomics Co-processor Provides up to 15,000X Acceleration on Long Read Assembly
International Conference on Architectural Support for Programming Languages and Operating Systems · 2018
173
cited
Cherry-picking: Exploiting process variations in dark-silicon homogeneous chip multi-processors
Design, Automation and Test in Europe · 2013
113
cited
Stability of SARS-CoV-2 phylogenies
bioRxiv · 2020
110
cited
Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
Nature · 2022
107
cited
A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees
bioRxiv · 2021
92
cited
MUTATION RATES AND SELECTION ON SYNONYMOUS MUTATIONS IN SARS-COV-2
bioRxiv · 2021
71
cited
HaDeS: Architectural synthesis for heterogeneous dark silicon chip multi-processors
Design Automation Conference · 2013
59
cited
A functional enrichment test for molecular convergent evolution finds a clear protein-coding signal in echolocating bats and whales
Proceedings of the National Academy of Sciences of the United States of America · 2019
47
cited
Maximum likelihood pandemic-scale phylogenetics
bioRxiv · 2022
46
cited
Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic
bioRxiv · 2020
34
cited
Darwin-WGA: A Co-processor Provides Increased Sensitivity in Whole Genome Alignments with High Speedup
International Symposium on High-Performance Computer Architecture · 2019
31
cited
matOptimize: a parallel tree optimization method enables online phylogenetics for SARS-CoV-2
bioRxiv · 2022
26
cited
Darwin: A Hardware-acceleration Framework for Genomic Sequence Alignment
bioRxiv · 2017
24
cited
phastSim: efficient simulation of sequence evolution for pandemic-scale datasets
bioRxiv · 2021
24
cited
SegAlign: A Scalable GPU-Based Whole Genome Aligner
International Conference for High Performance Computing, Networking, Storage and Analysis · 2020
22
cited
Identifying SARS-CoV-2 regional introductions and transmission clusters in real time
medRxiv · 2022
19
cited
A framework for automated scalable designation of viral pathogen lineages from genomic data
Nature Microbiology · 2024
18
cited
A phylogeny-based metric for estimating changes in transmissibility from recurrent mutations in SARS-CoV-2
bioRxiv · 2021
18
cited
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