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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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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My Ph.D. research addressed a central issue in understanding pancreatic cancer: how molecular signals in the tumor microenvironment drive the early spread of cells.
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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.
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My Ph.D. research addressed glioblastoma, the most common primary brain tumor in adults, and imaging to improve treatment.
Read the full profileRead past profiles of our students and their research organized by research track in the Ph.D. program.
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
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
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
