About Me

Hi! I am a PhD student in Computer Science at the University of Iowa, advised by Dr. Bijaya Adhikari. I work on AI for Health and general machine learning.

Previously, I earned my bachelor's degree in Computer Science from DePauw University in Indiana, where I was advised by Dr. Brian Howard and Dr. Dee Wu on deep learning for clinical systems and generative models. I have also worked as an undergraduate research research assistant under Dr. Gloria Townsend.

My research interests broadly span artificial intelligence for healthcare, applied machine learning, deep learning, natural language processing. I am especially interested in building large-scale deep learning pipelines that improve clinical systems and assist in clinical decision support.

Update: My paper, A Machine-Learned Comorbidity Index, was accepted as a regular conference paper at ICML 2026 and will be presented as a virtual poster.

Research Interests

• Applied Machine Learning
• Deep Learning
• AI for Health
• Clinical NLP and Large Language Models
• Neurosymbolic AI

News

• [June. 2026] Reviewer for the KDD 2026 Workshop epiDAMIK
• [May. 2026] First PhD paper called A Machine-Learned Comorbidity Index accepted to ICML 2026
• [Aug. 2025] I started my PhD in Computer Science at the University of Iowa.
• [Jun. 2025] I joined Paradowski Creative as an Artificial Intelligence Intern.
• [Dec. 2024] I joined Chopra Neuroscience Lab as a Machine Learning Intern.
• [Dec. 2024] I completed my BA in Computer Science at DePauw University.

Publications

A Machine-Learned Comorbidity Score.
Suleman Baloch, K. Jha, A. M. Segre, P. M. Polgreen, and B. Adhikari.
ICML, 2026.

Asking the Right Questions: Adapting LLMs to Analyze Clinical Notes from Multiple Care-Domains.
A. Choudhuri, Suleman Baloch, M. Ye, P. M. Polgreen, and B. Adhikari.
Submitted to ACL ARR 2026, under review, 2026.

Experience

PhD Researcher, University of Iowa
Aug. 2025 – Present, Iowa City, IA

• Leading research on improving ICD-10 coding quality using neurosymbolic AI.
• Building NLP-based models to predict hospital readmissions using clinical notes.
• Developed a data-driven comorbidity index for risk adjustment and patient stratification.

Artificial Intelligence Intern, Paradowski Creative
Jun. 2025 – Aug. 2025, St. Louis, MO

• Built an LLM-powered Slack bot with the OpenAI API and NLP, enabling 200+ employees to log time through conversation.
• Designed a Model Context Protocol architecture with RAG to generate a weekly AI pulse on trending topics.
• Implemented a predictive resource management tool with agentic AI and NLP to forecast staffing needs.

Deep Learning Researcher, Chopra Neuroscience Lab
Dec. 2024 – May 2025, Indianapolis, IN

• Developed a scalable MVP with OpenAI GPT to deliver 5,000+ personalized daily reminders for dementia patients.
• Built an API using Node.js for backend systems and Python for machine learning tasks.
• Integrated TensorFlow, scikit-learn, and Pandas into the application pipeline.

Projects

AI for Healthcare App
Cofounder of an AI healthcare application selected for the NYU Entrepreneurial Institute Startup Accelerator. The application transcribes doctor-patient conversations and generates clinical notes using GPT-4.

Education

University of Iowa
PhD in Computer Science, AI for Health and Computational Epidemiology
Aug. 2025 – May 2030

DePauw University
BA in Computer Science
Aug. 2021 – Dec. 2024

Skills

Languages: Python, JavaScript, TypeScript, Java, C, C++, C#, PHP, SQL, HTML, CSS

Machine Learning: TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers, spaCy, OpenCV, scikit-image