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General Information
| Name | Vivek Bharadwaj | 
| Interests | Geometric Deep Learning, Tensor Problems, HPC, Randomized Algorithms, Sparsity in ML | 
| Languages | C, C++, Python, Java, OCaml | 
| Tools | OpenMP, MPI, CUDA, UPC++, Pybind11, Pytorch | 
Education
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2020-2025 PhD, Computer Science
University of California, Berkeley - Advisors: James Demmel and Aydın Buluç
 - Funding: DOE CSGF (2021-2025)
 
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2016-2020 Bachelor of Science, Computer Science & Mathematics
California Institute of Technology - Cumulative GPA: 3.9/4.3
 
 
Experience
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Summer '24 Sparse Linear Algebra Intern
NVIDIA Math Libraries Team - Focus: rewrote large parts of cuSPARSELt, a library for structured sparse-dense matrix multiplication in machine learning, for new Blackwell GPUs.
 - Also investigated custom semiring support with JIT linking for sparse matrix-vector multiplication.
 
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Summers 
'23, '21, '20Graduate Student Researcher
Lawrence Berkeley National Lab - Focus: randomized algorithms for sparse matrix and tensor factorization.
 - Research is a blend of theoretical and applied work, with an emphasis on high-peformance implementation.
 
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Summer '22 Visiting Student Researcher
National Renewable Energy Laboratory - Focus: randomized Krylov method preconditioning.
 - Wrote CUDA kernels for randomized butterfly transformations and incomplete LDL factorization, both used as preconditioners.
 
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Summer '19 Software Engineering Intern
Jane Street Capital - Wrote protocols to relay market data from exchanges to traders.
 - Made improvements to Iron, an in-house fork of the Mercurial VCS.
 
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Summer '18 Caltech SURF Intern
Anandkumar Lab, Caltech - Focus: Continuous analogues of tensor decomposition and Gaussian process modeling, mentored by Rose Yu.
 
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Summer '17 Ph11 Scholar
Shapiro Lab, Caltech - Focus: GPU-based MRI simulations of diffusing water molecule spins in strong magnetic fields.
 - Work published in a Journal of the German Chemical Society (code on Github).
 
 
Publications, Talks, and Teaching
- See links in the navigation bar.
 
Awards and Fellowships
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2024 - Berkeley Teaching Effectiveness Award
 
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2022 - Berkeley Outstanding Graduate Student Instructor
 
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2021 - DoE Computational Science Graduate Fellowship
 
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2020 - Honorable Mention, NSF GRFP
 - Thomas A. Tisch Prize for Undergraduate Teaching
 
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2019 - Caltech Hacktech Best Educational Hack (Presentr)
 
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2017 - Ph11 Scholar. Funded research position awarded for solving "hurdle" problems at Caltech.
 
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2016 - National Merit Scholar. Applied funds to study at Caltech.
 
 
Professional Service
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Ongoing Peer review for the following journals / conferences:- 2025: ACM Transactions on Mathematical Software
 - 2025: ACM SPAA Junior PC Member
 - 2025: GrAPL IPDPS Workshop
 - 2024: Neural Information Processing Systems
 - 2024: Supercomputing 2024 Artifact Evaluation
 - 2023: NLA with Applications, Wiley
 - 2021: IEEE Signal Processing Letters
 
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2025 - General EECS Graduate Visit Day Co-organizer
 
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2022 - Reviewer, Berkeley SURF Research Applications
 - Graduate Visit Day Area Co-Organizer, Scientific Computing
 
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2019-20 Caltech Board of Control- Served on the student panel adjudicating cases of academic dishonesty.
 
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2019 Student Chair, Caltech CS Student-Faculty Conference- Read our final report here.
 
 
Volunteering
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Ongoing Judge for the following science contests:- 2023, 2022: Alameda County Science Fair
 - 2022: USA Young Physicists Tournament
 - 2020: Blair Middle School Science Fair
 
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March 2025 - Panelist for Berkeley L&S Graduate School Workshop
 
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Oct-Dec 2021 - CRS Science Ambassador: Gave virtual science presentations to students at Washington Elementary, Richmond
 
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Jan-Mar 2021 - Virtual Be a Scientist Mentor: Coached BUSD students through science projects weekly
 
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Spring 2020 - Caltech RISE Tutor: Tutored high school students from Pasadena Unified School district.