Summer Student Fellowship Projects
2025 Projects
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AI-driven Echocardiographic Model for Early Identification of Stress Cardiomyopathy
Student investigator: Jooyoung Ryu Mentored by IDIES member Professor Robert D. Stevens, Stress Cardiomyopathy (SCM) is an underdiagnosed and frequently misdiagnosed… »
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A Non-Parametric Approach for Learning Interaction Laws in Agent-Based Systems
Srisha Nippani Mentored by IDIES member Professor Mauro Maggioni Systems of interacting agents arise in various academic disciplines, where agents may… »
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Enhancing Post-Operative Efficiency in the Neurosciences Critical Care Unit Using Machine Learning and Data Science
Student Investigator: Alex Larson Mentored by Professor Tamás Budavári This project applies machine learning to predict which post-operative patients in the… »
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Understanding Learning: An Exploratory Analysis of the Geometry of Neural Network Weights and Activation
Student Investigator: James D’Alleva-Bochain Mentored by IDIES member Professor Brice Ménard Despite its popularity and critical role as a core technology… »
2024 Projects
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Simulating Murine and Human Cerebrocortical Development through an Agent-based Computational Model
David Zhou Mentored by IDIES member Genevieve Stein-O’Brien Development of the mammalian cerebral cortex is a complex and highly-regulated process requiring… »
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Computational Study on Accretion Modes of Planet Formation and Their Impact on Exoplanet Population
Chris Le Wang Mentored by Kevin Schlaufman Abstract The relative importance of pebble versus planetesimal accretion presents the most important uncertainty… »
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Advancing Otolith Function Assessment: Integrating Machine Learning with Video Oculography for Enhanced Vestibular Diagnosis
Krishna Mukunda Mentored by IDIES member Kemar Green Vertigo has a lifetime prevalence of around 7.4%, and is significantly difficult to… »
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Quantifying and Visualizing Urban Emissions of US Cities
Millie Mi Mentored by IDIES member Dylan Gaeta Abstract Many US cities have set greenhouse gas (GHG) emissions goals, making it… »
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Accelerated Materials Discovery for High-Entropy Hydrogen Fuel Cell Catalysts (HE-FCC)
Akshaya Ajith Mentored by Corey Oses Hydrogen fuel cells are a promising clean energy alternative to traditional electricity generation methods. They… »
2023 Projects
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AFLUX@JHU: Materials Search-API for the JHU aflow.org Data Repositories
William Shiber Mentored by Corey Oses Recent applications of machine learning to materials data repositories have accelerated computational materials design. Machine… »
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Development and External Validation of a Machine Learning Model for Pulmonary Embolism Prediction in Intensive Care
Sampath Rapuri Mentored by Robert D. Stevens Pulmonary embolism (PE) is a frequent and life-threatening complication in hospitalized patients. While statistical… »
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Intelligent Microscopy Methods for Characterizing Intermediate States Using Electron Energy Loss Spectroscopy (EELS)
Jay Kim Mentored by Mitra Taheri Advances in Transmission Electron Microscope (TEM) resolution, precision, and collection rates have greatly improved our… »
2022 Projects
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Laying the Foundation for Large-scale Precision Stellar Parameter Inference in the Field of Exoplanets
Student PI: Keyi Ding (Computer Science and Physics major)Mentor: Kevin C. Schlaufman We propose to determine the stellar physical properties of… »
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Optimizing Routes in the Operating Room
Student Investigator: Ryan Chou (Pre-medical Biomedical Engineering major) Mentor: Gregory D Hager An ongoing effort by the healthcare community is directed… »
2021 Projects
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Humanizing Our Data: Proposal on Integrating Social and Behavioral Determinants of Health into Population Health Analytics
Student Investigator: Jaxon Wu (KSAS – History of SC/MED/TECH) Mentors: Jonathan Weiner (SPH), Chintan Pandya (SPH) Socioeconomic inequalities have increasingly become… »
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Optimizing Resource Distribution Based on Sales Price Data Through Machine Learning
Student Investigator: Chengkai (Tony) Tian (WSE – Applied Math & Stats)Mentor: Jian Ni (Carey) The outbreak of COVID-19 alerts us to realize… »
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Using Machine Learning to Predict Surgical Case Duration in Operating Room Scheduling Optimization
Student Investigator: Shengwei Zhang (WSE – Applied Math & Stats)Mentor: Tinglong Dai (Carey), Kimia Ghobadi (WSE) Operating rooms (ORs) are the most… »
2020 Projects
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Hunting for Metal-Poor Main Sequence Stars in Spectroscopic Surveys
Student Investigator: Vedant ChandraMentor: Kevin Schlaufman (Physics and Astronomy, KSAS) Metal-poor stars are 10 billion year-old local relics of the early… »
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Data-Driven Differential Diagnosis of Common Pulmonary Diseases in the ICU
Student Investigator: Zherui XuanIDIES Mentor: Stuart Ray (Health Sciences Informatics, SOM) The goal of this project is to create an algorithm… »
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Who’s to blame: Insights from Atmospheric Data and High-Performance Computing on Greenhouse Gas Emissions from the US Natural Gas Industry
Student Investigator: Olin Shipstead (WSE)Mentor: Scot Miller (Environmental Health & Engineering, WSE) We propose to use a national network of atmospheric… »
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Using Machine Learning to Design Highly Stable, Biologically Active Proteins
Gina El Nesr (WSE & KSAS)Mentor: Doug Barrick (Biophysics, KSAS) Researchers have sought methods to design proteins that are highly stable… »
