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Opportunities for Artificial Intelligence in Healthcare at Brown

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Date Added/UpdatedGroup/AreaResearcher(s)Topics of InterestContact InformationCoding Experience Necessary?Additional Information
Nov 2022Brown School of Public HealthEric Jutkowitz PhDClaims Data, Neurodegenerative Diseaseseric_jutkowitz@brown.eduProject-Dependent*The Brown School of Public Health has access to a significant amount of claims data for medicare/medicaid patients. There are bountiful opportunities for AI-based analyses and predictions. The list of PIs listed here is not comprehensive, many PIs in the department have access to claims datasets.
Nov 2022CardiologyAnshul Parulkar MDCardiology/ECG Signal Processinganshul_parulkar@brown.eduProject-Dependent*Working on ECG processing of Apple watch data to determine risk of serious myocardial decline after Trans-Aortic Valve Replacement Procedure.
Nov 2022Center for Biomedical InformaticsElizabeth Chen PhD, Neil Sarkar PhDBiomedical Informatics, Electronic Health Records, Clinical, neil_sarkar@brown.eduProject-Dependent*, Python and/or Julia helpfulDr. Chen and Dr. Sarkar also help run the Scholarly Concentration in Biomedical Informatics.
Nov 2022Diagnostic Radiology, Radiology AI LabHarrison Bai MD, Zhicheng Jiao PhDDiagnostic Assistance, Precision Medicine, Patient Selection for, zhicheng_jiao@brown.eduProject-Dependent*, none-requiredThe Radiology Artificial Intelligence Lab works on a wide range of problems in clinical data science. Their goal is to develop machine learning techniques based on imaging to assist clinical decision making, avoid medical errors and ultimately improve patient health. Reach out to the PIs listed here to discuss a broad range of possible research projects.
Nov 2022Division of Pulmonology and Critical CareAdeel Abbasi MDCritically Ill Patient Outcome Prediction, ECMOadeel_abbasi@brown.eduPython RecommendedLeveraging AI to analyze clinical datasets and predict complications in critically-ill patients (ex. those on ECMO)
Nov 2022Emergency MedicineMegan Ranney MDOpioid Use Disorders, Retinal Imaging, Diabetesmegan_ranney@brown.eduPython or Julia RecommendedSeveral AI-related projects are in progress in the department of emergency medicine including AI-related analysis of retinal imaging to predict diabetic retinopathy and opioid-disorder/ED visit related predictions. Reach out to Dr. Ranney to better understand some of the research
Nov 2022Lifespan Cardiovascular InstituteGaurav Choudhary MDAI-assisted Heart Sound Analyses, Pulmonary Hypertensiongaurav_choudhary@brown.eduRecommended, may be projects not requiring codingSeveral research projects are available through various investigators in the cardiovascular institute. Reach out to Dr. Choudhary to connect to PIs for specific projects.
Nov 2022Psychiatry and Human BehaviorAmin Zand Vakili MD, Sarah Arias PhDfMRI/eeg, suicide risk prediction and, sarah_arias@brown.eduProject-Dependent*, support for students new to programmingDr. Zand Vakili is interested in using fMRI and EEG to better understand the pathophysiology of mental health ailments. Dr. Arias's work includes studies around suicidal ideation and depression.
Nov 2022PathologyEce Uzun (formerly Gasmiz) PhDGenomics, Cancer, Bioinformaticsdilber_gamsiz@brown.eduProject Dependent*, Python or R (Python preferred)Dr. Uzun helps lead the bioinformatics research at Lifespan's pathology department. There is access to a wide amount of genetic, imaging, and clinical data with numerous opportunities for AI-based analyses
Nov 2022Trauma and Surgical Critical CareSean Monaghan MDCritically Ill Patient Outcome Prediction, Genomics, Trauma, Sepsissean_monaghan@brown.eduPython and/or R requiredDr. Monaghan and his team are working on collecting and analyzing RNA data from critically ill patients with a focus on sepsis. Projects utilize our data set where over 100 million RNA reads are obtained for each patient at each time point. Areas of focus include RNA biology (RNA splicing), the host response, and unmapped reads (pathogen and antibody RNA).

*Project Dependent means projects with range of experience may be available including chart review, basic statistical software, or advanced programming language skills.

We believe that this registry is up-to-date with current areas of AI in Medicine related research being carried out at Brown. If you believe information presented here is inaccurate or would like to add additional information, please reach out to