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

2. 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

3. 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)

4. 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, …)

5. 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

6. 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)

7. 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

8. 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)

9. 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.”

10. 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

11. 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

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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. Department of Biostatistics
Thank you!