Biomedical Informatics Program Students
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Laura Bravo Sanchez
Research Interests: Developing and deploying Artificial Intelligence methods to improve clinical decision making, diagnosis and treatment.
Bryan Bunning
Research Interests: Clinical trial design, conduct, and data integration from unique sources
Ben Ehlert
Research Interest: Clinically-viable machine learning to optimize care of chronic diseases.
Oana Enache
Research Interest: Developing statistical methods for observational health data
Ashley Lewis
Research Interests: Machine learning and algorithm development broadly to inform clinical practice. Also, the impact of health policy on population health, primarily in vulnerable populations
Gowri Nayar
Research Interests: Designing computational tools and prediction algorithms to understand protein interactions and accelerate drug development.
Maggie Wang
Research Interests: Developing robust and interpretable machine learning models to meaningfully guide clinical care.
Josiah Aklilu
Research Interests: Applying machine learning in medical imaging and studying the underlying causes for neurological disorders, and developing methods for drug discovery and efficacy.
Kristy Carpenter
Research Interests: Developing and applying computational tools for drug discovery and acceleration of drug development pipeline
Samson Mataraso
Research Interest: Using and developing machine learning techniques to derive insights from electronic medical record data
Eric Sun
Research Interests: Developing and applying statistical and machine learning methods to understand the biology of aging and age-related disease.
Min Woo Sun
Research Interest: Developing statistical methods and integrating multimodal data to elucidate the molecular underpinnings of complex diseases.
Kevin Wu
Research Interests: Clinically-viable machine learning, computer vision for medical imaging, and neuroscience-inspired artificial intelligence
Christine Yeh
Research Interest: Computational systems biology for translational medicine
Juan Manuel Zambrano Chaves
Research Interests: Enhance clinical practice by developing decision aiding tools using statistics and artificial intelligence
Matthew Aguirre
Research Interest: Developing methods in statistical genetics to better understand, identify, and treat human disease.
Erin Craig
Research Interests: Develop tools to support clinical decision making, to improve relationships between patients and clinicians, and to ease hospital processes and workflows.
Daisy Ding
Research Interests: Develop statistical and machine learning models for clinical decision-making
Checo Gonzales
Research Interests: Statistical and community-based methods for identification of (un)fair algorithmic allocation of health care resources to historically oppressed groups
Mars Huang
Research Interests: Applying deep learning on genomic or proteomic data to contribute to precision medicine development and drug discovery
Yusuf Roohani
Research Interest: Machine learning applied to drug discovery and systems biology. Multi-modal data integration especially dealing with high throughput screening and imaging.
Rosie Sowers
Research Interests: Genomics, computational immunology, machine learning, translational bioinformatics
Conor Corbin
Research Interests: Applying machine learning and AI techniques to optimize medical workflows
Alex Derry
Research Interests: Using statistical or machine-learning methods to improve personalized/precision medicine
Tiffany Eulalio
Research Interests: Apply machine learning and parallel programming techniques to genetic data to study cancer and aging
Scott Fleming
Research Interests: Developing algorithms to optimize behavioral interventions in mobile health applications
Gautam Machiraju
Research Interests: Developing mathematical models and multi-omic learning methods for applications in systems biomedicine
Minh Nguyen
Research Interests: Applying machine learning to electronic health records and clinical practice
Dan Sosa
Research Interests: Generating drug-repurposing hypotheses through edge-prediction in literature-derived heterogeneous networks
Larry Kalesinskas
Research Interests: Cluster Analysis of Single-Cell Epigenetic Data
Kelley Paskov
Research Interests: Assembling and analyzing genomics and metagenomics data, electronic medical record mining, and physiological signal processing among others
Mike Freedman
Research Interests: "I’m a pediatrician in critical care training with a background in bioengineering, pharma R&D, decision science, epidemiology, consulting, and startups. I’m interested in applying computational modeling techniques toward the prediction and prevention of critical illness in children, both inside and outside the PICU."
Samvel Gyurdzhyan
Research Interests: Coupling real-world data with machine learning to derive actionable insights and develop digital therapeutics that advance patient care.
David Kuo
Research Interests: Computational methods for guiding patient treatment and building robust trustworthy machine learning systems for real-world clinical practice.
Maximillian Schuessler
Research Interests: Developing and leveraging methods of causal inference and machine learning algorithms to advance oncology; integrating -omics, imaging and EHR data for therapeutic prediction; translation into clinical outcomes and innovation
Matt Schwede
Research Interests: Integrating both genomic and phenotypic data, including data from the electronic health record, and applying machine learning and other computational techniques to model pathogenesis, treatment response, and survival in hematologic malignancies
Ben Viggiano
Research Interests: Machine learning/ computer vision techniques in medical imaging, integrating approaches for multimodal medical record data, bias analysis, and natural language processing for electronic medical health records
Betty Xiong
Research Interests: Biomedical natural language processing, and data analysis from medical wearables for improving patient outcomes.
Yousuf Khan
Research Interests: Studying the interactions of different macromolecules at a single molecule level, and specifically the AAA+ superfamily of proteins to understand how forces and can be transmitted between macromolecules to produce dynamic motion.
Vivian Zhu
Research Interests: Machine learning and statistical methods, neuroscience, and mathematical modeling.
Chia Jui Hung
Research Interests: Developing algorithms for wearables; mining and applying machine learning methods to omics data.
Ju Yeon (Jules) Lee
Research Interests: Clinical informatics, computational genomics, computational epidemiology, public health informatics, social medicine, and queer health.
Fan Liu
Research interests: applied statistical methods, machine learning, infectious diseases/immunology
Michelle Li
Research Interests: Precision medicine, diagnostic tools development, and drug repurposing
Charles Chen
Research Interests: Mining electronic health records using machine learning and natural language processing. Developing artificial intelligence systems for information extraction and decision support.
Hannah Grossman
Research Interests: Using machine learning for a range of biomedical applications, most notably cancer diagnosis and treatment. "I hope to utilize my education in molecular environmental biology and computer science and background as a software engineer to discover solutions to diseases that plague so many of us."
Gary Tseng
Research Interests: Applied machine learning in healthcare, statistical methods, and digital health applications.
Gary Burnett
Research Interests: Machine learning, GPU Computing, Neuroscience, Deep Brain Stimulation, Neural Encoding/Decoding
Chenyu Li
Research interests: Developing novel methods and informatics tools for genome and transcriptome analysis to improve diagnostics and treatment of diseases
Abby Pandya
Research Interests: Developing quantification and AI methods to translate data to meaning to construct and implement proactive, continuous, and preventative health outcomes
Hsu-Hang (Eric) Yeh
Research interests: develop models for clinical decision support, utilize machine learning to facilitate clinical research