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Current Role

Software Architect & AI Researcher at Indiana University's Division of Computational Pathology, and Technical Lead at the Medical Working Group of MLCommons working on designing solutions for privacy-focussed AI in Healthcare.

I believe open software fosters better science, and thus have been involved in multiple open-source projects and their associated research studies, including the Federated Tumor Segmentation (FeTS) platform and the Cancer Imaging Phenomics Toolkit (CaPTk). I am currently focusing my efforts on the following:

Interests

  • Applying concepts of AI (with a focus on privacy) to solve problems in healthcare.
  • Committed to doing reproducible and deployable research.
    • Firm believer of the saying a weak algorithm that is well written & integrated is better than a strong algorithm that isn't.
  • Advocating for F.A.I.R. in research.
  • Helping people choose the correct career path.

How to reach me

patis [at] iu.edu

Sarthak Pati's Projects

acsconv icon acsconv

[IEEE JBHI] Reinventing 2D Convolutions for 3D Images

algorithms icon algorithms

This repo contains the model architectures to be used in the OpenFL backend.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

batchgenerators icon batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

bcj-cffi icon bcj-cffi

Python module of BCJ: Branch/Call/Jump conversion filter by CFFI

black icon black

The uncompromising Python code formatter

brotlicffi icon brotlicffi

Python bindings to the Brotli compression library

captk icon captk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform various radiomic tasks

claire icon claire

Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)

cnpy icon cnpy

library to read/write .npy and .npz files in C/C++

collageradiomics icon collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

crypten icon crypten

A framework for Privacy Preserving Machine Learning

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

dpu-utils icon dpu-utils

Utilities used by the Deep Program Understanding team

figuregenerator icon figuregenerator

This helps creating high quality figures for use in manuscripts and presentations.

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