Emily Koons: Improving CT imaging with Artificial Intelligence
My Ph.D. research focused on measuring the improvement of a photon-counting-detector CT scanner in its ability to image previously hard-to-see materials.
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Student Research
As graduate students near the end of their Ph.D. training at Mayo Clinic Graduate School of Biomedical Sciences, they reflect on their research journeys, lessons they learned along the way, and their hopes for the future.
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Xi Yu: Using advanced technology to detect brain aging
My Ph.D. research explored how the brain changes with age and with chronic medical conditions like diabetes and high blood pressure.
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Caroline Grant: Artificial Intelligence strategies to study disease and drug response
My Ph.D. research focused on developing new artificial intelligence (AI) and machine learning methodologies to analyze vast datasets of genes and their biological products alongside relevant clinical information.
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Abdul Karim Ghaith, M.D.: Developing new approaches to treat spinal cord injury
My Ph.D. research was driven by a vision to bring hope to patients who are paralyzed by spinal cord injuries by developing new approaches to treatment.
Read the full profileStudent research by track
Read past profiles of our students and their research organized by research track in the Ph.D. program.
Biochemistry and molecular biology track
Luke Doskey: Student Analyzes Cell-to-Cell Communication in Disease
Joana Efua Aggrey-Fynn: Understanding the Metastasis of Pancreatic Tumor Cells
Stephanie Oatman: Combining Big Data to Understand Mechanisms of Alzheimer’s Disease
Keenan Pearson: Optimizing a DNA-Based Tool to Address Disease
Pei Yi Ng: Aiming to Mitigate Alzheimer’s Disease
Rameen Shah: Developing a Mini Brain to Study a Rare Genetic Disease
Brandon Wilbanks: Finding DNA Molecules That Can Transport Drugs Inside Cells
Biomedical engineering and physiology track
Clinical and translational science track
Danielle Beetler: Exploring a New Approach to Treating Deadly Heart Disease
Damian Di Florio: Understanding Sex Differences in Deadly Heart Disease
Harvey Huang: Exploring Brain Networks Involved in Vision and Disease
Abdul Karim Ghaith, M.D.: Developing New Approaches to Treat Spinal Cord Injury
Harry Min: Pursuing Treatments for Deadly Neurodegenerative Disease
Minerva Orellana: A Student’s Community-Engaged Research on Fibroids
Stephanie Zawada: Wearables as a Tool to Help Doctors Assess Effects of Stroke
Immunology track
Molecular pharmacology and experimental therapeutics track
Zack Aibaidula, M.D.: Becoming a Scientist to Help Patients with Brain Cancer
Matthew Baker: Student Identifies Neurons Related to Addictive Behavior
Mylan Blomquist: Imaging Residual Brain Tumor Cells to Improve Glioblastoma Treatment
Kevin Gao: Reengineering Heart Cells to Understand Sudden Cardiac Death
Ramin Garmany: A Big-Data Approach to Understand a Genetic Heart Disease
Caroline Grant: Artificial Intelligence Strategies to Study Disease and Drug Response
August John: Developing a New Method to Optimize Cancer Drugs
Deborah Msekela: Sleep-Related Epilepsy
Glancis Luzeena Raja: Taking on Pancreatic Cancer
Julian Rechberger, M.D.: Improving Treatment of Deadly Pediatric Brain Tumors
Olivia Sirpilla: Engineering Stem Cells as a Therapy for Immune Disease
Utkarsh Tripathi: Targeting Senescent Cells to Treat Aging and Cancer
Tianchu Wang: Halting Kidney Cancer
Taylor Weiskittel: Using Big Data to Understand Immune Cells and Cancer