BD2K Efforts in Pitt Biostatistics! Jong H. Jeong, Interim Chair Department of Biostatistics BD2K Efforts in Pitt Biostatistics! Jong H. Jeong, Interim Chair

Pitt Biostatistics - Who are we? Vision Statement Department of Biostatistics Pitt Biostatistics - Who are we? Vision Statement Leading Data-Driven Science In Public Health Via Innovative Methodology, Interdisciplinary Collaboration, and Impactful Education

Pitt Biostatistics: Who are we? Department of Biostatistics Pitt Biostatistics: Who are we? Statistical (Stochastic) Method Development Collaboration (50%-25% funding level) Education (MS/MPH, PhD) Service (Scholarly and Professionally)

Methodology Research… Pitt Biostatistics Methodology Research… Adaptive Treatment Strategies Bioinformatics Complex Modeling Functional Data Analysis Genomics High-Throughput Data Analysis Longitudinal Data Analysis Meta-Analysis Missing Data Mobile Device Pragmatic Trials Proteomics ROC Analysis … And Collaboration Nursing Patient-Centered Outcomes (EMR) Pediatrics (EMR) Proteomics Psychiatry Radiology Rehabilitation Cancer Clinical Trials Diagnostic Imaging Epidemiology Environmental Health Genomics Medicine Network Analysis Statistical Computing Stochastic Modeling Survival Analysis Time Series Publishes in top-tier journals! (JASA, Bmka, Ann of Stat, Biometrics, NEJM, JAMA, Lancet, …)

BD2K Efforts on Three Levels Department of Biostatistics BD2K Efforts on Three Levels Individual Faculty Curriculum Department Submission of T32 Pre-doctoral Training Grant for Biomedical Big Data Science Sponsor/Host national conference on Statistical Methods in Imaging

Individual Faculty Level Developing New Methods for Big Data Department of Biostatistics Individual Faculty Level Developing New Methods for Big Data Bioinformatics and Genomics (Dr. George Tseng, R01) Proteomics (Dr. Ying Ding, R03) Mobile Device (Dr. Chaeryon Kang, NSF) Time Series (Dr. Rob Krafty, R01) Dynamic Treatment Regimes (Dr. Abdus Wahed) Lifetime Data Science (Dr. Jong Jeong)

Modernizing Curriculum Department of Biostatistics Modernizing Curriculum Stochastic modeling vs. Mathematical modeling Advanced R course Advanced numerical methods in statistics More on Bayesian methods Potential course cross listing with Computer Science and Biomedical Informatics

T32 for Data Science for Big Biomedical Data Department of Biostatistics Departmental efforts T32 for Data Science for Big Biomedical Data Responded to BD2K Pre-doctoral Training in Biomedical Big Data Science in July Timeline was tight, but we made it! Special thanks to Renee Valenti (Central Coordinator Staff, Biostatistics) and Dr. Harry Hochheiser (Faculty, Biomedical Informatics)

T32 for Data Science for Big Biomedical Data Department of Biostatistics Departmental efforts T32 for Data Science for Big Biomedical Data The mission of the Biomedical Big Data Science Training Program “to provide world-class educational and research opportunities enabling students to use a synthesis of biomedical, statistical, and computational approaches to advance biomedical big data science research, education, and practice.”

Natural Contributor to Biomedical Big Data Science (Training) Program Department of Biostatistics Pitt Biostatistics Natural Contributor to Biomedical Big Data Science (Training) Program Active development in statistical methods to deal with Big Data Extensive experience in Biomedical Big Data through active collaboration Competitive education program Outstanding staff support

Pittsburgh Biomedical Big Data Science Training Program (PittBBDS) Department of Biostatistics Pittsburgh Biomedical Big Data Science Training Program (PittBBDS) Four schools: Arts & Science, Information Sciences, Medicine, Public Health Seven departments: Biomedical informatics, Biostatistics (Contact PI), Computational and systems biology, Computer science, Epidemiology, Human Genetics, Information sciences Multiple PI Project Fifty five faculty involved

PittBBDS: Connection between Biomedical Data and Data Science Department of Biostatistics PittBBDS: Connection between Biomedical Data and Data Science

PittBBDS: Key Features Department of Biostatistics PittBBDS: Key Features Funding requested to support 6 trainees If funded, institutional in-kind support for 2 more slots Admissions committee at large A new semester course will be developed: Introduction to Big Data Science

PittBBDS: Key Features Department of Biostatistics PittBBDS: Key Features Prospective trainees need to take successfully the new course or at least one course from each of three multidisciplinary domains (Computer Science/Informatics, Mathematical Statistics, Biomedical Sciences) Trainees will receive a doctoral degree from their home department, with a possible certificate for Biomedical Big Data Science The new course and rotation (PHDL on the list) will emphasize team science project and reproducibility components

PittBBDS: Key Features Department of Biostatistics PittBBDS: Key Features External internships will be arranged Joint mentorship across multiple disciplines will be established Individual development plans (IDP) will be used to track milestones and expectations

PittBBDS: Key Features Department of Biostatistics PittBBDS: Key Features Existing seminar and lecture series will be coordinated to invite experts on the topic Colloquia for professional development skills and career guidance Recruitment plan to enhance diversity

Sponsor/Host national conference on Statistical Methods in Imaging Department of Biostatistics Departmental efforts Sponsor/Host national conference on Statistical Methods in Imaging Co-sponsored by Statistics in Imaging Section, ASA, Pitt Biostatistics, Pitt Public Health May 31st - June 2nd , 2017 Auditorium G23 reserved Pitt Biostatistics representative: Dr. Rob Krafty

BD2K Efforts in Pitt Biostatistics! Biomedical Big Data Science Department of Biostatistics BD2K Efforts in Pitt Biostatistics! Biomedical Big Data Science Moving forward Multidisciplinary collaborative efforts important Future is Here, with young and active faculty and outstanding staff! Definition of Martingale

Department of Biostatistics Thank you!