麻豆传媒高清

Meet The Presenters


 

Discover the voices shaping the future of biomedical informatics.

Our retreat showcases the depth and diversity of DBMI’s community through a dynamic mix of faculty presentations, trainee lightning talks, and poster sessions.

From established experts to emerging voices, these presenters are sharing cutting-edge research, sparking new ideas, and inviting collaboration across disciplines. Explore their work and join the conversation during sessions and breaks.

 

Faculty Presenters

James Costello, PhD

An interpretable matrix factorization approach for biomedical representation learning

Nicholas Dwork, PhD

Mónica Muñoz Torres, PhD

AI-readiness for Biomedical Data

Nikita Pozdeyev, MD

Personalized screening for thyroid cancer: a path to cure

Trainee Presenters

Sarah Brotman (Zweifel)

The effects of adipose tissue gene expression on cardiometabolic traits

Zach Caterer

Development of Polygenetic Risk Score (PRS) for Lipoprotein A — Lp(a)

Julia Curd

Characterizing and Targeting Gene Process Dependencies in Cancer with BioBombe (Multi-Model Machine Learning Approach)

Jill Hoffman

Akshay Kumar Avvaru

Somatic mosaicism at the FMR1 CGG repeat in different brain tissues of FXTAS patients

Suraju Sadeeq

PONG 2.0: Allele imputation for the killer cell immunoglobulin-like receptors

Kewalin Samart

SigMatch: a transcriptome-based regression method to detect mechanistic links across diseases and drugs

Kristen Sutton

Poster Presenters

PresenterPoster Title

Jacklyn Ashmus

Sex Stratified Autoimmune eQTLs in Human PBMCs
Akshay Kumar Avvaru

Somatic mosaicism at the FMR1 CGG repeat in different brain tissues of FXTAS patients

Banabithi Bose

A network model for predicting personalized drug response in breast cancer using tumor multi-omics data

Evan Brenner

Identifying the genetic origins of bacterial pathogen adaptation using machine learning

Sarah Brotman (Zweifel)

Dissecting the genetic basis of sexually dimorphic neurological traits through brain gene expression differences

Dave Bunten

Improving Research Software with the Software Gardening Almanack

He Cheng

Agentic Reasoning over Graphs: Empowering LLMs for Clinical Decision Support

Julia Curd

Characterizing and Targeting Gene Process Dependencies in Cancer with BioBombe (Multi-Model Machine Learning Approach)

Ralf Dagdag

Personalizing Care: Utilizing Healthcare Data to Predict Patient Responses to Frontline Clinical Interventions in Advanced-Stage Prostate Cancer
Abhirupa Ghosh

Exploring multiple antibiotic resistance in ESKAPE using genomics and machine learning

Parker Hicks

Cross-modal machine learning enables researchers to easily leverage public transcriptomics samples for data-driven discovery of biomedical contexts associated

Adriana Ivich

Adipocyte burden defines a high-risk micro-environment in HGSOC

Maya Kruse

An Information-Theoretic Perspective on Multi-LLM Uncertainty Estimation

Emma Lathouwers

(Mis)paired samples investigation
Keenan Manpearl

Leveraging molecular networks and ontology structure for predicting novel genes that play a role in understudied functions, traits, and diseases

James Martin

EVALUATION OF PHARMACOGENOMIC CLINICAL DECISION SUPPORT ALERTS FOR SUPPORTIVE CARE MEDICATIONS IN PATIENTS WITH GASTROINTESTINAL CANCERS

Nicole McDaniel

Warfarin Pharmacogenomics Dose Calculator 

Alaa Radwan

Association of White Blood Cell Count Polygenic Scores with Mycophenolate-Induced Leukopenia after Solid Organ Transplantation

Lucas Rozell

Ethically Engaging Underrepresented Participants in Biomedical Research: Perspectives on Return of Results from the CCPM Biobank

Suraju Sadeeq

PONG 2.0: Allele imputation for the killer cell immunoglobulin-like receptors
Kewalin Samart

SigMatch: a transcriptome-based regression method to detect mechanistic links across diseases and drugs

Ashley Scadden

Altered Gut Microbiota in Daily Caloric Restriction versus Intermittent Fasting Trial (DRIFT) Participants

Kristen Sutton

The effects of adipose tissue gene expression on cardiometabolic traits

Katerina Terwelp

Predicting horizontal gene transfer in the smallest cyanobacteria: Prochlorococcus

Jenna Tomkinson

Cell Painting and machine learning distinguish nonfailing from failing human cardiac fibroblasts

 

 

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