Sanchit Misra

Intel (India) — India

Biochemistry, Genetics and Molecular Biology · Life Sciences

17h-index3.5kcitations77works2.42yr avg
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Research Topics

Genomics and Phylogenetic Studies(26), Algorithms and Data Compression(24), Machine Learning in Bioinformatics(12), RNA and protein synthesis mechanisms(9), Gene expression and cancer classification(9)

Publications77 total

Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms
The American Journal of Human Genetics·2025· 4 citedOpen Access
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis
Communications of the ACM·2025· 1 cited
Towards whole-genome inference of polygenic scores with fast and memory-efficient algorithms
2025· 3 citedOpen Access
Accelerating whole-genome alignment in the age of complete genome assemblies
2024Open Access
Generative Active Learning for the Search of Small-molecule Protein Binders
arXiv (Cornell University)·2024· 4 citedOpen Access
PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design
arXiv (Cornell University)·2023· 2 citedOpen Access
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis
2023Open Access
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis
2023Open Access
GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis
2023· 14 citedOpen Access
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
arXiv (Cornell University)·2023· 16 citedOpen Access
Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs
arXiv (Cornell University)·2022· 1 citedOpen Access
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling
arXiv (Cornell University)·2022· 1 citedOpen Access
Accelerating Deep Learning based Identification of Chromatin Accessibility from noisy ATAC-seq Data
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)·2022
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads
Frontiers in Applied Mathematics and Statistics·2022· 1 citedOpen Access
Accelerating minimap2 for long-read sequencing applications on modern CPUs
Nature Computational Science·2022· 62 cited
Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads
arXiv (Cornell University)·2021· 2 citedOpen Access
Implementation of the article "DistGNN: scalable distributed training for large-scale graph neural networks"
Artifact Digital Object Group·2021· 2 cited
Implementation of the article "Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads"
Artifact Digital Object Group·2021
DistGNN
2021· 92 cited
Tensor processing primitives
2021· 3 citedOpen Access
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Frequent Co-authors

Alok Choudhary(14), Srinivas Aluru(12), Ankit Agrawal(10), Vasimuddin Md(9), Ramanarayan Mohanty(5), Evangelos Georganas(5), Alexander Heinecke(5), Dhiraj Kalamkar(5), Sasikanth Avancha(5), Ramanathan Narayanan(5), Heng Li(4), Md Vasimuddin(4), Lalith Polepeddi(4), Daniel Honbo(4), Kiran Pamnany(4), Guixiang Ma(3), Nesreen K. Ahmed(3), Saurabh Kalikar(3), Vasimuddin(3), Tim Kraska(3)