Brian S Caffo
| Professor |
|---|
| Departments of Biostatistics Johns Hopkins University (primary), |
| Department of Biomedical Engineering, Johns Hopkins University (courtesy) |
| www.bcaffo.com, CV repo, CV hosted version |
Part I
Summary
Brian Caffo, PhD is a professor in the Department of Biostatistics with a secondary appointment in the Department of Biomedical Engineering at Johns Hopkins University. He graduated from the University of Florida Department of Statistics in 2001. He has worked in statistical computing, statistical modeling, computational statistics, multivariate and decomposition methods and statistics in neuroimaging and neuroscience. He led teams that won the ADHD 200 prediction competition. He co-directs the SMART statistical group. With other faculty at JHU, he created and co-directs the Coursera Data Science Specialization, a 10 course specialization on statistical data analysis. He co-directs the JHU Data Science Lab, a group dedicated to open educational innovation and data science. He is the former director of the Biostatistics graduate programs and admissions committees. He is currently the co-director of the Johns Hopkins High Performance Computing Exchange super computing service center and past-president of the Bloomberg School of Public Health faculty senate.
Education and training
| Year | Description | Institution | |
|---|---|---|---|
| 2006 | K25 training grant | NIH | A mentored training program in imaging science |
| 2001 | PhD in statistics | U of Florida | Candidate sampling schemes and some important applications |
| 1998 | MS in statistics | U of Florida | |
| 1995 | Dual BS in mathematics and statistics | U of Florida |
Professional experience
Relevant professional experience.
Profesional activities
| Year | Activity |
|---|---|
| 2005-2006 | Publications Officer for the Biometrics Section of the American Statistical Association |
| 2010 | Founding member Stat in Imaging ASA Section |
| 2010-2011 | Secretary Stat in Imaging ASA Section |
Editorial activities
| Year | Activity |
|---|---|
| 2006-2008 | Associate editor Computational Statistics and Data Analysis |
| 2008-2010 | Associate editor for the Journal of the American Statistical Association |
| 2009-2012 | Associate editor for the Journal of the Royal Statistical Society Series B |
| 2010-2012 | Associate editor for Biometrics |
| 2011-2011 | Senior program committee member for the Fourteenth International Conference on Artificial Intelligence and Statistics |
| 2016-2016 | Guest associate editor for Frontiers in Neuroscience special issues on Brain Imaging Methods |
| 2021-2021 | Guest associate editor for Frontiers special issue in Explainable Artificial Intelligence in Healthcare and Finance |
Here are my NIH study sections. I do not include internal, NSF or EU study sections, of which I’ve done a small number.
| Study section | Title | Date | |
|---|---|---|---|
| 0 | NIGMS | Sure-First | 3/25/2024 |
| 1 | DNDA | ANIE | 10/26/2023 |
| 2 | ZDA | Workshops on Computational and Analytical Res... | 1/30/2023 |
| 3 | ZEY | NEI Clinical Applications | 7/15/2022 |
| 4 | ZEY | Large Scale Epidemiology and Secondary Data A... | 10/20/2021 |
| 5 | ZRG1 | Healthcare Delivery and Methodologies | 6/27/2018 |
| 6 | ZNS1 | NeuroNEXT2 | 3/23/2018 |
| 7 | NPAS | Neural Basis of Psychopathology Addictions an... | 10/19/2017 |
| 8 | ZMH1 | Interventions/Biomarkers Special Emphasis Panel | 2/3/2017 |
| 9 | ZMH1 | Research Education Programs (R25) | 10/13/2016 |
| 10 | ZMH1 | Interventions/Biomarkers | 7/8/2016 |
| 11 | ZRG1 | BD2K Open Educational Resources and Courses f... | 6/26/2015 |
| 12 | ZRG1 | Modeling of Social Behavior | 1/29/2015 |
| 13 | ZMH1 | ITVC Conflicts | 8/16/2013 |
| 14 | DBD | Developmental Brain Disorders Study Section | 6/27/2012 |
| 15 | ZRG1 | Member Conflict: Epidemiology | 9/7/2011 |
| 16 | ITVA | Interventions Committee for Adult Disorders | 10/12/2010 |
| 17 | ITVA | Interventions Committee for Adult Disorders | 2/09/2010 |
| 18 | BMRD | Biostatistical Methods and Research Design St... | 02/13/2009 |
| 19 | ZRG1 | Quick Trials on Imaging and Image-guided Inte... | 10/31/2008 |
Honors and awards
| Year | Award |
|---|---|
| 1998 | William S. Mendenhall Award |
| 1999 | Anderson Scholar/Faculty nominee for the University of Florida CLAS |
| 2001 | University of Florida CLAS Dissertation Fellowship |
| 2001 | University of Florida Statistics Faculty Award |
| 2002 | Johns Hopkins Faculty Innovation Award |
| 2006 | Johns Hopkins Bloomberg School of Public Health AMTRA award |
| 2008 | Johns Hopkins Bloomberg School of Public Health Golden Apple teaching award |
| 2011 | Leader and organizer of the declared winning entry of the 2011 ADHD200 prediction competition |
| 2011 | Presidential Early Career Award for Scientists and Engineers (PECASE, 2010, awarded in 2011); The highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers |
| 2014 | Named a Fellow of the American Statistical Association |
| 2015 | Special Invited Lecturer, European Meeting of Statisticians |
| 2022 | Adrienne Cupples award; This annual award recognizes a biostatistician whose academic achievements reflect the contributions to teaching, research, and service exemplified by Professor L. Adrienne Cupples |
| 2024 | Johns Hopkins Bloomberg School of Public Health AMTRA award |
Publications
Publications reported in Scopus as of 1/15/2024. My total number of Scopus publications is 257. Below is a plot of total publications by year where each small rectangle is a publication.
Here are journals I publish in the most.
I have published with 793 coauthors (according to Scopus). Here is authors that I have had 7 or over manuscripts with.
Here’s a plot of number of authors for each manuscript by my position.
Here’s the total citation counts of manuscripts plotted by year of publication.
Part II
Teaching
Advisees
To the nearest year from matriculation year. Includes advisees and co-advisees in formal degree programs or postdoctoral fellowships.
Student exam participation
Excludes alternate.
Classroom Instruction
To the nearest year. Data Science and EDS specializations were with Roger Peng and Jeff Leek. Data Science Hackathon was with Leah Jager, Jeff Leek, Roger Peng. Guest lectures not included.
E-books
E-books are free and open access, excepting Methods in Biostatistics with R. For all books, student get all subsequent version updates.
- Statistical Inference, Leanpub
- Regression Models, Leanpub
- Developing Data Products, Leanpub
- Advanced Linear Models for Data Science, Leabpub,
- Methods in Biostatistics with R, Leanpub, with John Muschelli, Ciprian Crainiceanu
- Executive Data Science, Leanpub, with Roger Peng, Jeff Leek
Other
- PI (roll of executive producer, non-instructor) for the BD2K R25 Genomic Data Science Specialization, fMRI 1 and 2 (Lindquist / Wager), Neurohacking in R (Craininceanu, Sweeney, Muschelli), Neuroscience for Neuroimaging (Baker)
- swirl: Mentored project by Nick Carchedi intiated during his internship
- Course notes for Biostatistics 140.651-2 listed on the Johns Hopkins Open Courseware project
- YouTube channel (all educational content) - 14k subscribers, over 400 videos, 6.4k views in past 28 days, ~300 hours of total watch time in the last 28 days
Research grants
| Role | Start | Finish | Organization | Mechanism | Title | Number | |
|---|---|---|---|---|---|---|---|
| 0 | PI | 2002-01-01 | 2004-01-01 | JHBSPH | Faculty Innovation Award | Monte Carlo and Markov chain Monte Carlo Algor... | 0 |
| 1 | PI | 2006-05-01 | 2009-04-30 | NIH NIBIB | K25 EB003491 | A mentored training program in imaging science | 1 |
| 2 | PI | 2010-09-30 | 2014-08-31 | NIH NIBIB | R01 EB012547 | Statistical methods for hierarchical large n l... | 2 |
| 3 | Sub PI | 2011-09-01 | 2016-08-31 | NIH NIBIB | P41 EB015909 | Resource for quantitative functional MRI, TRD ... | 3 |
| 4 | PI | 2012-03-14 | 2014-03-14 | Amazon AWS | Cloud research grant | Cloud-Based Development of Neuroimaging Software | 4 |
| 5 | CoPI | 2012-08-27 | 2014-08-26 | JHU BSI | NaN | The Center for Quantitative Neuroscience: a co... | 5 |
| 6 | PI | 2014-12-01 | 2017-11-30 | NIH | R25 EB020378 | Big Data Education for the Masses: MOOCs, Modu... | 6 |
| 7 | PI | 2019-08-16 | 2020-08-16 | NVIDIA | Hardware grant | GPU Accelerated Statistical Inference | 7 |
| 8 | PI | 2021-05-07 | 2025-03-21 | NIH NIBIB | R01 EB029977 | Statistical methods for structural and functio... | 8 |
| 9 | Sub PI | 2021-07-01 | 2026-04-30 | NIH NIBIB | P41 EB031771 | MRI Resource for Physiologic, Metabolic and An... | 9 |
Co-investigator and subcontract awards
This is surprisingly hard and likely incomplete. Here’s the best I could do for title and mechanism.
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Here’s my most frequent grant PIs.
Here’s a breakdown of grant mechanisms.
Here’s grants by the log base 10 of the yearly direct costs and start time. Note some grants only show subcontract value where as others show the parent grant.
Academic service
Here’s my major service roles by year rounded to the nearest year by the major organizational group that it represents. Also, I do the normal other service (promotion comittees etcetera).
Seminars
Here’s a plot of the invited seminars I’ve logged. The list with presentation files can be found here.