Examples of Potential Student Research Projects with Faculty

CI MED works to collect and share information about student research and mentoring opportunities that may be available to CI MED students. The faculty members below have indicated their willingness to engage with students in research and mentorship. Using the “Learn More” buttons, you can find information about them and links to lab web pages (for some).

Importantly, these projects may not be precisely up-to-date. If a project listed is of interest, the student should reach out to the faculty member to ask if the project is still available or relevant, and/or if the faculty member has related projects for which they are looking to engage CI MED students.

An additional list of faculty who have interest in mentoring students, particularly during Discovery Learning, as well as their respective research interests is available here; please note, these faculty members may also be available outside of this specific time frame.

AI Models

Professor Jimeng Sun's research interests focus on developing and evaluating AI-based clinical prediction models, with the ultimate goal of improving patient outcomes and health care delivery. Additionally, he is working on developing and validating generative AI models, such as large language models, for use in clinical decision support, as well as exploring their potential to assist with clinical trial design and optimization. By leveraging the power of AI, he hopes to contribute to the ongoing efforts to improve patient care and promote better health outcomes.

Examples of Potential Student Research Projects with Faculty

AI Models

Development of New Dendritic Cell Vaccines for Cancer Treatments

CAR T Therapies for Treating Cancer and Autoimmune Disorders

Immune Cell Homing Materials

A Field Experiment to Evaluate the Efficacy of Convenient Health Kiosks

Investigating the Impact of Insurance Plans on Variability and Inequity in Patient Care: An Analytical Study Using Transactional Data from a Hospital

Automated Screening Tools

Microbubble Contrast Agents

Medical Devices

Social Determinants of Health

Development of Machine Learning Approaches to Segment Anatomy from Medical Images

Development of Pipelines to Transform Medical Imaging Data into Virtual Reality Objects for Education and Presurgical Planning

Application of New Analysis Methods for Functional and Anatomical Imaging Data

Examination of Functional Brain Imaging Data to Identify Impact of Interventions

Conduct a Literature Review on Surface Treatments Bone Implants for Improved Biocompatibility, Osteointegration, and Antibacterial Properties

Study Bone Quality Using Machine Learning, Microindentation, and Literature Review

Characterize Biological Materials Using Microscopy and Mechanical Testing, Literature Review

Design Impact-Resistant Materials for Scaffolds, Implants, Helmets, and Other Applications

3D Print and Analyze Architectured Materials for Implants and Multi-Material Composites for Medical and Engineering Applications

Single-Cell Analysis of Targeted Transcriptome Predicts Drug Sensitivity of Single Cells within Human Myeloma Tumors

A Gene Expression Signature Distinguishes Innate Response and Resistance to Proteasome Inhibitors in Multiple Myeloma

Product Recall Decisions in Medical Device Supply Chains: A Big Data Analytic Approach to Evaluating Judgment Bias

Evaluation of Reopening Strategies for Educational Institutions during COVID-19 through Agent-Based Simulation

Robot-Assisted Surgical Care Delivery at a Hospital: Policies for Maximizing Clinical Outcome Benefits and Minimizing Costs

Delivering Long-Term Surgical Care in Underserved Communities: The Enabling Role of International NPOs as Partners

secDrug: A Pipeline to Discover Novel Drug Combinations to Kill Drug-Resistant Multiple Myeloma Cells Using a Greedy Set Cover Algorithm and Single-Cell Multi-Omics

Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer

Epidemic Modeling, Prediction, and Control

Major Risk Factors Associated with Severe COVID-19 Outcomes in Patients with Multiple Myeloma: Report from the National COVID-19 Cohort Collaborative (N3C)

Sample Average Treatment Effect on the Treated Analysis Using Counterfactual Explanation Identifies BMT and SARS-CoV-2 Vaccination as Protective Risk Factors Associated with COVID-19 Severity and Survival in Patients with Multiple Myeloma

Not All COVID-19 Waves Are Similar: Origins, Detection and Mitigation Strategies for Simultaneous Waves

Cardiovascular Imaging Using Multimodal Approaches that Combine Various Imaging and Non-Imaging Technologies

Cancer Imaging Using Multimodal Approaches that Combine Various Imaging and Non-Imaging Technologies

When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

COSIFER: A Python Package for the Consensus Inference of Molecular Interaction Networks

Survey Design & Resistance Development

Hormone and Neurological Study of Texting Youth project, HONESTY project, and Mixed Methods COVID-19 Study