RESEARCH
PUBLICATIONS
I am working with Dr. Kevin B Johnson in the Artificial Intelligence for Ambulatory Care Innovation (AI-4AI) Lab at the University of Pennsylvania. My research focuses on leveraging large language models (LLMs) to build AI-powered conversational agents that assist clinicians and enhance the patient experience—starting in the primary care clinic. In addition, I have a strong track record in publishing clinical research from my time at medical school and still collaborate on a few clinical projects.
Research at CMU (Jan '23 onwards)
Masters Thesis:
Analyzing Over and Under Prescribing of Medications in Multi-Morbid Patients: A Machine Learning Approach to Patient Safety via Medication Reconciliation
A Review of Machine Learning Approaches in Dengue Fever​ (In progress)
​A comprehensive review article exploring the existing machine learning methodologies employed in the study of Dengue Fever, covering various aspects including definition, etiology, epidemiology, clinical presentation, diagnosis, and prognosis.
Machine Learning for Screening Suicidal Ideation in Patients with
Polycystic Ovarian Syndrome
Poster Presentation at the AMIA Annual Summit 2023, New Orleans
Improving Medication Reconciliation Using Deep Learning Recommendation Systems
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A proof-of-concept solution developed for the Patient Safety Fellowship Challenge, organised by the Jewish Healthcare Foundation, Pittsburgh, PA.​ The poster was presented at the Final Expo of the fellowship.
Articles in Focus
Tennis Courts in the Human Body: A Review of the Misleading Metaphor in Medical Literature
Large surfaces in the human body are widely (and erroneously) likened to a tennis court in medical literature. This article deconstructs the discrepancies in this metaphor and provides an introduction to fractal geometry.
Medical Diagnosis Reimagined as a Process of Bayesian Reasoning and Elimination
A mathematical perspective using Bayes reasoning of the age-old practice of diagnosing a patient with an example of Kartagener syndrome.
Clinical Research Publications
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Neutrophil-to-Lymphocyte, Lymphocyte-to- Monocyte, and Platelet-to-Lymphocyte Ratios: Prognostic Significance in COVID-19
A cross-sectional study aimed at examining the prognostic value of neutrophil-to-lymphocyte, lymphocyte-to-monocyte, platelet-to-lymphocyte, and mean platelet volume (MPV)-to-platelet count ratios in patients with COVID-19.
A Needle in the Fetal Brain: The Rare Role of Transabdominal Cephalocentesis in Fetal Hydrocephalus
A case report of a primigravida with term fetal hydrocephalus who underwent ultrasound-guided transabdominal cephalocentesis and subsequently delivered vaginally without any adverse perinatal outcomes.
How Does Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) Hold Up in Predicting Adverse Outcomes and Prognosis among Patients with Chronic Liver Disease Compared to Other Liver Scoring Systems?
A comparative analysis of aspartate aminotransferase: platelet ratio index(APRI) with Child-Pugh-Turcotte(CTP) score, the model for end-stage liver disease(MELD) and MELD–sodium(Na), to forecast the clinical course of patients with chronic liver disease.
Liver: Function and dysfunction in COVID-19
A cross-sectional study in a tertiary healthcare setting in the initial months of the pandemic to describe the clinical characteristics in patients of COVID-19 and investigate the gender difference with particular regard to liver impairment.
Relationship of Night time Blood Pressure with Urine Microalbumin Creatinine Ratio in Non-CKD Patients
A prospective study to examine the relationship between night-time blood pressure and urine microalbumin to creatinine ratio in patients with either type 2 diabetes mellitus or hypertension, without any evidence of renal damage.
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