Shourya Verma

phd @PurdueCS // solving problems

about

- Machine learning research in bio-medicine healthcare and more

education

PhD Purdue University, USA, Computer Science

- Frederick N. Andrews Fellowship Recipient - Batch 2028

MSc Heidelberg University, Germany, Scientific Computing

- Specialization in Machine Learning and Bio-science - Batch 2023

BSc Glasgow University, UK, Computing Science and Physics Honors

- Specialization in Machine Learning - Batch 2021

research

Cancer

- Open-Source AI Framework for Efficient Annotation in Digital Pathology
- Translation of Single-cell Gene Expression to Histopathological Images
- Transcriptomics-Morphology Generation Via Drug Treatment Conditioning (Forward)
- Transcriptome-Morphology Perturbation Guided Drug Molecule Design (Inverse)

Neuroscience

- Dynamics of Seizure-Like Activity in Brain Organoid Neuronal Networks
- Sensor Space EEG Reconstruction of Temporally Evoked Neural Features (Forward)
- Modeling of Auditory Cortical-Subcortical Dynamics with PSD Networks (Inverse)
- Modeling Multi-Modal FMRI and Image Generation for Visual-Cortical Understanding

Vision and Motion

- Degraded Image Restoration via Latent Rectified Flow & Feature Distillation
- Unified Multi-Modal Interactive and Reactive 3D Motion Generation
- Self-trained Student-Teacher Models for Label-Free Panoptic Segmentation

previously

Machine Learning - Purdue University - May/Jul 2025

- Developed open-source semi-supervised deep learning histopathology cell annotation tool for the Cancer Research Institute

Machine Learning - Purdue University - May/Jul 2024

- Unsupervised deep learning analysis of seizure-like-activity on brain organoids to study traumatic brain injury effects

Machine Learning - EMBL Heidelberg - Apr/Nov 2023

- Self-supervised deep learning for segmentation and domain adaptation in natural/bio imaging applications

Machine Learning - IWR Heidelberg - Nov/Apr 2023

- Optimizing UMAP's machine learning algorithm using autoencoders and discriminative contrastive loss methods

Machine Learning - DKFZ Heidelberg - Apr/Nov 2022

- Deep learning generalizability in tissue classification using domain-invariant representation of hyperspectral data

Machine Learning - NHS Scotland - Jun/Aug 2021

- Developed an intelligent database to assist clinicians make informed decisions and provide personalized care to patients

Machine Learning - Coursera - Jun/Aug 2021

- Developed MOOC 'Informed Clinical Decision Making using Deep Learning' for Coursera with Prof Fani Deligianni

Machine Learning - Glasgow University - 2020/2021

- Machine Learning to Detect Kaon-Pion Hadron Particles
- Machine Learning to Detect Arrhythmia Based on ECG Data

Software Development - Tata Consultancy Services - Jun/Jul 2020

- Research on UK-Europe fintech start-ups, covering technological trends of software development in the industry

Software Development - Obashi Technology - 2019/2020

- Developed an augmented reality localization mapping android software to view dataflow between two machines with Unity

Software Development - IIT Kanpur - Jun/Jul 2019

- Full-stack web-application developer for a journal sorting and storing application using NodeJS and NoSQL database

Chemical Sciences - Frankfurt University - Jun/Jul 2018

- Applied computational photo-physics research: calculating two-photon absorption cross-section of phenylamine dyes

Biological Sciences - IIT Kanpur - 2016/2017

- Experimenting on nano-materials under environmental stress and biomaterial-based charge storage and super-capacitors

publications

google scholar

contact

linkedin · twitter