Grant Recipients - The Fund for Innovation in Cancer Informatics

Baylor College of Medicine

Major Grant Award Recipient

Spring 2025

Drs. Zobeck and Coarfa

An Integrated Clinical and Genomic Informatics Platform to Predict Cardiotoxicity from Pediatric Cancer Treatment

Beth Israel Deaconess Medical Center, Harvard Medical School

Discovery Grant Award Recipient

Fall 2023

Drs. Appelbaum and Curry

Development of a Clinical Implementation Framework for LIRIC (Liver Cancer Risk Computation) Methods

Dana Farber Cancer Institute

Major Grant Award Recipient

Fall 2020

Drs. Beroukhim & Dalin

Expanded Structural Variant Signatures and Their Role in Predicting Chemotherapy Sensitivity.

Dana-Farber Cancer Institute

Major Grant Award Recipient

Fall 2017

Drs. Beroukhim and Shapira

Integrated Genomic Analyses to Detect Oncogenic Rearrangements

Dana-Farber Cancer Institute

Major Grant Award Recipient

Fall 2017

Drs. Hassett and Cerami

MatchMiner: Accelerating Enrollment of Patients to Precision Cancer Medicine Clinical Trials

Dana-Farber Cancer Institute

Major Grant Award Recipient

Spring 2018

Drs. Elmarakeby and Van Allen

Deep Learning Models to Accelerate Translational Cancer Genomics

Dana-Farber Cancer Institute

Discovery Grant Award Recipient

Fall 2019

Drs. Singer and Daud

Designing T Cell Liquide Biopsies From Single-Cell Resolution Data

Dana-Farber Cancer Institute

Major Grant Award Recipient

Fall 2022

Drs. Enzinger and Hassett

Optimizing Cancer Pain Management Through an EHR Integrated Mobile Health Tool

Dana-Farber Cancer Institute

Major Grant Award Recipient

Spring 2023

Drs. Baca and Van Allen

Maximizing the Robustness of Fragmentomics-based Cancer Biomarkers

Dana-Farber Cancer Institute

Discovery Grant Award Recipient

Fall 2024

Drs. Hoverstadt and Griffin

Rapid Epigenomic Classification of Acute Leukemia using Deep Learning and Nanopore Sequencing.

Dana-Farber Cancer Institute

Major Grant Award Recipient

Fall 2024

Drs. Manz and Lindvall

Improving patient-centered inpatient clinical decision-making by applying large language models to identify and summarize serious illness conversation documentation in real-time for patients with cancer being admitted to the hospital.

Dana-Farber Cancer Institute and University of Texas MD Anderson Cancer Center

Discovery Grant Award Recipient

Fall 2017

Drs. Carrot-Zhang and Le

Novel Analytical Models Relating Genetic Ancestry to Cancer Risk in Large Panel Sequencing Datasets

Emory School of Medicine

Major Grant Award Recipient

Spring 2024

Drs. Ardeshir-Larijani and Khorrami

Novel Radiogenomic Biomarkers to Predict Response to Immunotherapy in a Non-Small Cell Lung Cancer.

Fred Hutchinson Cancer Research Center, University of Washington

Major Grant Award Recipient

Fall 2018

Drs. Pritchard and Ha

Accelerating the Development and Validation of Liquid Biopsy Assays for Cancer

Fred Hutchinson Cancer Research Center, University of Washington

Discovery Grant Award Recipient

Spring 2021

Drs. Wu and Gauthier

High Dimensional Interference for Biomarker Identification: An Application to CAR-T Cell Immunotherapy

GEARBOx: a multisite clinical trial matching tool for children with relapsed or refractory cancer

High Impact Collaborative Grant Award Recipient

Spring 2022

Lead PI: Dr. Samuel Volchenborum

GEARBOx: a multisite clinical trial matching tool for children with relapsed or refractory cancer

Harvard Medical School

Major Grant Award Recipient

Fall 2023

Drs. Glodzik and Park

Chromoscope: Interactive Visualization for Clinical Interpretation of Whole Cancer Genomes

Harvard Medical School

Major Grant Award Recipient

Spring 2025

Drs. Khan and Warner

Multi-Risk Cancer Prediction Using Deep Sequential Modeling of Large-Scale Longitudinal EHRs

Harvard T.H. Chan School of Public Health

ICI Grant Recipient

Spring 2025

Drs. Song and Rosenthal

Deep Learning of the Electronic Health Record, Imaging and Genetic Data for Risk Protection of Post Colonoscopy Colorectal Cancer

Harvard, T.H. Chan, School of Public Health

Discovery Grant Award Recipient

Spring 2024

Dr. Mingyang Song

Developing a deep learning model in the electronic health record database to predict colorectal cancer risk after colonoscopy screening

Hugo W. Moser Research Institute at Kennedy Krieger

Discovery Grant Award Recipient

Fall 2017

Drs. Bressler and Laterra

Elucidate the Mechanism Underlying Resistance in Gliomas to Conventional Therapy

Icahn School of Medicine at Mount Sinai

Discovery Grant Award Recipient

Spring 2017

Drs. Parekh and Dudley

A Network-Based Precision Medicine Platform for Personalized Treatment of Multiple Myeloma.

Johns Hopkins University

ICI Grant Recipient

Spring 2025

Drs. Chatterjee and Visvanathan

Development of a Universal Breast Cancer Risk Prediction Tool for the Diverse US Population Using Data from 2.4 million Women Across 29 Cohorts

Johns Hopkins, Sidney Kimmel Comprehensive Cancer Center and Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Fall 2020

Drs. Leslie & Toska

Discovery and Validation of Splicing and Gene Expression Programs in Cancer

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Spring 2017

Drs. Schultz and Gao

Genome Nexus: A Web Resource for the Comprehensive Annotation of Cancer Variants

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Fall 2017

Drs. Sanchez-Vega and Ganesh

Identifying the Genomic Basis of Organ-Specific Metastasis

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Spring 2018

Drs. Vasan and Reznik

Discovery and Validation of Tandem Mutations Driving Cancer

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Fall 2019

Drs. Gao, Berger, and Solit

SIGNAL: A Population-Scale Resource of Germline Variants and Accompanying Somatic Alterations in Cancer

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Spring 2020

Drs. Hakimi & Reznik

Multimodal Metabolic Analysis of Tumors and Therapeutic Responses

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Spring 2022

Dr. Debyani Chakravarty and Ino de Bruijn

REVUE: Repository for Variants with Unexpected Effects

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Fall 2022

Drs. Do, Summerville, and Ghaffari

RROADMAP: Creation of Metastatic Database From Radiology Reports Using Natural Language Processing

Memorial Sloan Kettering Cancer Center

Discovery Grant Award Recipient

Fall 2023

Drs. Ghaffari and Swinburne

RAIAT (Radiology Artificial Intelligence Assistant Tool): Enhancing Radiologic Diagnosis Through Integrated Computer Vision and Large Language Models

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Spring 2024

Drs. Sanchez-Vega and Boehm

Inferring Actionable Biomarkers from Routine Hematoxylin and Eosin-Stained Tissue.

Memorial Sloan Kettering Cancer Center

Major Grant Award Recipient

Fall 2024

Drs. Bandlamudi and Schoenfeld

Zygosity of Mutations in Tumor Suppressor Genes as Biomarker of Response to Therapy

Memorial Sloan Kettering Cancer Center

ICI Grant Recipient

Spring 2025

Drs. Shaffer and Kosmidou

Pan-Can Analysis of Electrocardiogram Waveform Patterns Using Artificial Intelligence

NYU Courant Institute of Mathematical Sciences and Stanford University

Discovery Grant Award Recipient

Spring 2017

Drs. Mishra and Ramazzotti

Bridging Cancer Genomics Data Resources

Sloan Kettering Institute for Cancer Research

Major Grant Award Recipient

Spring 2025

Drs. El Bakouny and Tansey

Population-Scale Discovery of Clinical and Genomic Determinants of Systematic Therapy Adverse Events in Patients with Solid Tumors

St. Jude Children’s Research Hospital

Discovery Grant Award Recipient

Fall 2019

Drs. Ma and Klco

Accelerating the Development and Validation of Liquid Biopsy via Computational Error Suppression

Stanford University

Major Grant Award Recipient

Spring 2018

Drs. Zou and Gevaert

Computational Epigenomics to Study Pancancer Etiology

Stanford University School of Medicine

Major Grant Award Recipient

Spring 2017

Drs. Gentles and Diehn

Identification of Factors Modulating Immune System Response to Tumors

Stanford University School of Medicine

Major Grant Award Recipient

Fall 2018

Drs. Ji and Xia

Identifying Actionable Microbial Biomarkers for Cancer Therapy Using Big Data Approaches

The Research Institute of Fox Chase Cancer Center

Discovery Grant Award Recipient

Fall 2018

Drs. Olszanski and Ross

Evaluating Trial TRIAGE, a Point of Service Software Tool that Streamlines Selection of Patient Appropriate Clinical Trials

Toyota Technological Institute at Chicago and The University of Chicago

Major Grant Award Recipient

Spring 2017

Drs. Khan and Savage

A Computational Platform for Analyzing Cancer Immunologic Data

University of Cambridge and Memorial Sloan Kettering Cancer Center

Discovery Grant Award Recipient

Spring 2018

Drs. Zamarin and Miller

Unraveling the Tumor-Immune Microenvironment by Immunogenomic Analysis

University of Massachusetts, Boston

Discovery Grant Award Recipient

Spring 2023

Drs. Del Rivero, Luna, and Babur

Drug Response Signatures in Rare Adrenocortical Carcinoma & Patient-Patient Similarity Networks

University of Michigan Medical School

Major Grant Award Recipient

Spring 2020

Drs. Cieslik & Alva

Translational Tools and Resources to Advance MHC (HLA) Cancer Genetics

University of Michigan Medical School

Major Grant Award Recipient

Spring 2022

Dr. Chad Brenner, Wenjin Gu, and Dr. Ryan Mills

Improving Bioinformatics Methods for Analysis of Virus-Associated Cancers

University of Pittsburgh School of Medicine

Discovery Grant Award Recipient

Fall 2023

Drs. Liu and Ko

Discovery and Validation of Cancer Therapeutic Targets Through the Single-Cell Long-Read RNA-seq Analysis.

University of Pittsburgh, Hillman Cancer Center

Major Grant Award Recipient

Spring 2019

Drs. Somasundaram and Osmanbeyoglu

Integrative Computational Framework for Linking Cell Surface Proteins to Downstream Transcriptional Programs in Cells

University of Texas Foundation

ICI Grant Recipient

Spring 2025

Drs. Wu and Weaver

Automated AI Pipeline for Interpretable Longitudinal Mammography Analysis

University of Texas Health Science Center at San Antonio

Major Grant Award Recipient

Fall 2019

Drs. Chen and Chiu

Deep Learning-Based Prognostic Model for Management of Men with Metastatic Castration-Resistant Prostate Cancer

University of Texas M.D. Anderson Cancer Center

Major Grant Award Recipient

Spring 2017

Drs. Korkut and Woodman

Genomics-Guided Discovery of Effective Combination Therapies in Cancer

University of Texas M.D. Anderson Cancer Center

Discovery Grant Award Recipient

Spring 2018

Drs. Cao and Kopetz

Application of a Genomic/Transcriptomic Deconvolution Toolbox Addressing Tumor Heterogeneity of Consensus Molecular Subtypes in Metastatic and Primary Colorectal Cancer Samples

University of Texas MD Anderson Cancer Center

Discovery Grant Award Recipient

Fall 2020

Drs. Ludmir and Fuller

PROTECTOR: Project for Reportability of Therapeutic Evaluations and Clinical Trials in Oncologic Research

University of Texas, MD Anderson Cancer Center

Major Grant Award Recipient

Spring 2022

Drs Court and Niedzielski

TOM: Treatment Outcome Monitor - a cloud-based tool designed specifically for clinics with limited resources

All Grant Awards