Open to opportunities

Mohini Anand

@mohinianand

Machine learning researcher focused on self-supervised deep learning for medical image analysis and LLM-powered systems.

United States

Message

What I'm looking for

I’m looking for a research-focused role where I can build self-supervised and generative models for medical imaging, turn them into deployable prototypes, and partner with teams that prioritize rigorous evaluation and real clinical impact.

I’m a Ph.D. candidate in Computer Science at Purdue University building self-supervised deep learning methods for high-impact medical imaging tasks. My thesis develops the first self-supervised framework for anatomical clustering of ~100k cardiac tractography streamlines, achieving 20+ anatomically coherent myofiber bundles (DBCV > 0.75) and enabling label-free structural phenotyping of the myocardium.

I also engineer generative and language-driven systems: I built a conditional GAN pipeline for synthetic pancreatic MRI generation (addressing severe domain shifts) and a hierarchical multi-agent LLM framework for automated patient support, integrating Twilio and Deepgram with Ollama to deliver a low-latency voice prototype handling ~90% of inquiries. I care about rigorous evaluation, stable training, and solutions that scale beyond prototypes—so medical workflows benefit from reproducible advances.

Experience

Work history, roles, and key accomplishments

Current

Graduate Researcher

Current

Purdue University

Aug 2022 - Present (3 years 10 months)

Developed a first self-supervised framework for anatomical clustering of ~100k cardiac tractography streamlines, achieving 20+ coherent myofiber bundles (DBCV > 0.75). Engineered a conditional GAN for synthetic pancreatic MRI to support IPMN diagnosis under severe domain shift, and built a hierarchical multi-agent LLM system with a low-latency voice interface handling ~90% of patient inquiries aut

Self Supervised Learning Clustering PyTorch VICReg Cardiac Tractography SPADE Normalization Bidirectional LSTM Conditional GAN

Current

Graduate Teaching Assistant

Current

Purdue University

Aug 2022 - Present (3 years 10 months)

Served as Head TA for CS176 (Data Engineering in Python), directing a teaching staff of ~20 TAs and supporting logistical deployment of a newly established curriculum while handling administrative responsibilities alongside TA duties.

Python Data Engineering Curriculum Support Data Visualization Data Science Instruction Academic Advising

Graduate Data Mine Researcher

Purdue University

Aug 2023 - Dec 2023 (4 months)

Created a preprocessing pipeline for mammograms that optimized quantum filter application, reducing training time for downstream machine learning algorithms.

data preprocessing Mammogram Analysis Quantum Filter Methods Machine Learning Pipelines Python NumPy scikit learn

Research Mentor

Remote

Jun 2023 - Oct 2023 (4 months)

Mentored a high-school student to analyze climate change trends in Python using statistical methods, guiding data cleaning, analysis, and visualization to produce a final research report.

Statistical Methods Data Cleaning Data Visualization Reporting Collaboration Educational Support

Research Intern

Massachusetts Institute of Technology

Jun 2021 - Aug 2021 (2 months)

Built saliency maps to study how adversarial attacks affect object detection models, identifying key vulnerabilities and informing robust defense development.

Object Detection Model Interpretability Deep Learning Robust ML Visualization Defense Mechanisms Python

Undergraduate Researcher

New York University

Sep 2020 - May 2021 (8 months)

Built a machine learning restaurant categorization system with an interactive Dash (Python) user interface, demonstrating end-to-end full-stack development skills.

Machine Learning Restaurant Categorization Python Dash Data Modeling Full Stack Developer scikit learn Visualization

Education

Degrees, certifications, and relevant coursework

Purdue University

Ph.D. in Computer Science, Computer Science

Grade: GPA 3.96

Activities and societies: Relevant coursework: Statistical Machine Learning, Reasoning with Large Language Models, Data Mining, Introduction to Scientific Visualization.

Ph.D. in Computer Science with an expected graduation date of May 2027.