Scientist Training and Career Development

The Mentored Career Development Award in Biomedical Big Data Science for Clinician and Doctorally Prepared Scientists (K01) aims to support additional mentored training of scientists who will gain the knowledge and skills necessary to be independent researchers as well as to work in a team environment to develop new Big Data technologies, methods, and tools applicable to basic and clinical research. In FY14 and FY15 the BD2K Initiative has supported 21 outstanding individuals who will become the next generation of Biomedical Big Data Scientists.

Grant PI Name(s) All Project Title Institution RePORTER Project Info
1 K01 ES025432-01 AVANTS, BRIAN  Imaging genomics bases of pediatric executive functioning UNIVERSITY OF PENNSYLVANIA RePORT Proj Info
1 K01 ES026834-01 CALLCUT, RACHAEL A Advancing Outcome Metrics in Trauma Surgery Through Utilization of Big Data UNIVERSITY OF CALIFORNIA, SAN FRANCISCO RePORT Proj Info
1 K01 ES026837-01 CHEN, JONATHAN HAILIN Data-Mining Clinical Decision Support from Electronic Health Records STANFORD UNIVERSITY RePORT Proj Info
1 K01 ES025437-01 COFFMAN, DONNA LYNN Novel Methods to Identify Momentary Risk States for Stress & Physical Inactivity PENNSYLVANIA STATE UNIVERSITY-UNIV PARK RePORT Proj Info
1 K01 ES026835-01 FARHAT, MAHA  New Tools for the interpretation of Pathogen Genomic Data with a focus on Mycobacterium tuberculosis MASSACHUSETTS GENERAL HOSPITAL RePORT Proj Info
1 K01 ES025434-01 GARMIRE, LANA X An Integrative Bioinformatics Approach to Study Single Cancer Cell Heterogeneity UNIVERSITY OF HAWAII AT MANOA RePORT Proj Info
1 K01 ES026839-01A1 GLISKE, STEPHEN V Epileptic biomarkers and big data: identifying brain regions to resect in patients with refractory epilepsy UNIVERSITY OF MICHIGAN RePORT Proj Info
1 K01 ES026832-01 ITAKURA, HARUKA  Multi-scale data integration frameworks to improve cancer outcomes STANFORD UNIVERSITY RePORT Proj Info
1 K01 ES026838-01 JOHNSON, MICHAEL HIROSHI Molecular Analysis and Precision Medicine in Renal Cell Carcinoma JOHNS HOPKINS UNIVERSITY RePORT Proj Info
1 K01 ES025431-01 LANDAU, DAN  The role of epigenetic heterogeneity in CLL evolution DANA-FARBER CANCER INST RePORT Proj Info
1 K01 ES026841-01 LEE, GEORGE  Big data convergence of pathology and omics for disease prognosis CASE WESTERN RESERVE UNIVERSITY RePORT Proj Info
1 K01 ES025445-01A1 NEMATI, SHAMIM  Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU EMORY UNIVERSITY RePORT Proj Info
1 K01 ES025433-01 NGUYEN, QUYNH  HashtagHealth: A Social Media Big Data Resource for Neighborhood Effects Research UNIVERSITY OF UTAH RePORT Proj Info
1 K01 ES025438-01 NSOESIE, ELAINE O. A Framework for Integrating Multiple Data Sources for Modeling and Forecasting of Infectious Diseases CHILDREN'S HOSPITAL CORPORATION RePORT Proj Info
1 K01 ES026842-01 PAGUIRIGAN, AMY  Connecting Single Cell Heterogeneity to Clinical Descriptors of Clonal Evolution in Acute Myeloid Leukemia FRED HUTCHINSON CANCER RESEARCH CENTER RePORT Proj Info
1 K01 ES026833-01 PARK, SOOJIN  Multiparametric Prediction of Vasospasm after Subarachnoid Hemorrhage COLUMBIA UNIVERSITY HEALTH SCIENCES RePORT Proj Info
1 K01 ES025442-01 PEARSON, JOHN  Nonparametric Bayes Methods for Big Data in Neuroscience DUKE UNIVERSITY RePORT Proj Info
1 K01 ES025435-01 PROKOP, JEREMY WILLIAM Using a Sequence-to-Structure-to-Function Approach to Functionally Characterize Protein Coding Missense Mutations in the Human and Rat Genomes MEDICAL COLLEGE OF WISCONSIN RePORT Proj Info
1 K01 ES026840-01 SCHMITT, JAMES E INGOT: a family of statistical computing algorithms for hypothesis-driven imaging genomic and longitudinal neuroimaging analysis UNIVERSITY OF PENNSYLVANIA RePORT Proj Info
1 K01 ES026836-01 VAN PANHUIS, WILLEM GIJSBERT Data integration for global population health through dynamic models UNIVERSITY OF PITTSBURGH AT PITTSBURGH RePORT Proj Info
1 K01 ES025436-01 WAGENAAR, JOOST B Developing Cloud-based tools for Big Neural Data UNIVERSITY OF PENNSYLVANIA RePORT Proj Info

This page last reviewed on September 6, 2018