Agenda

08:00Continental Breakfast & Check-in
09:00Opening Remarks
S. Alexander Szalay, PhD, Director of IDIES, Bloomberg Distinguished Professor, Professor of Astrophysics & Computer Science, Johns Hopkins University
09:15Keynote Speaker
AWS Research Initiatives
Sanjay Padhi, PhD, Amazon Web Services Research Initiatives
10:05Seed Fund Update
Enter the matrix: Interpreting unsupervised feature learning with matrix decomposition to answer unasked questions in high-throughput data
Elana J. Fertig (Department of Oncology, School of Medicine), Raman Arora (Department of Computer Science, Whiting School of Engineering),
10:25Seed Fund Update
New Tools for an Old Problem: Building a Global and Historical Data Set of Social Unrest
Beverly J. Silver (Sociology Department; Arrighi Center for Global Studies), Sahan Savas Karatasli (Sociology Department, Arrighi Center for Global Studies), Christopher Nealon (English Department),
10:45Break – Mudd Auditorium Lobby
11:00MARCC Update
Jaime Combariza, PhD, Director, Maryland Advanced Research Computing Center
11:20IDIES Proposal Submission Service
Margie Gier, Senior Administrative Manager, Institute for Data Intensive Engineering and Science
11:25The MEDE Data Science Cloud: Building a Bridge to Materials Science
David Elbert, Associate Research Scientist, Department of Earth and Planetary Sciences, Krieger School of Arts & Sciences
11:45Poster Madness
12:00Lunch & Poster Session – Mudd Hall UTL Commons
13:15Keynote Speaker
When Big Data is Not Enough
Alan Yuille, PhD, Bloomberg Distinguished Professor, Department of Cognitive Science, Krieger School of Arts & Sciences, Johns Hopkins University
14:05Seed Fund Update
EchoSIM: Multiscale Acoustic Simulations Integrated with Free-Flight Experiments for Echo Scene Analysis of an Echolocating Bat
Rajat Mittal (Department of Mechanical Engineering), Jung Hee Seo (Department of Mechanical Engineering), Cynthia F. Moss (Psychological and Brain Sciences), Susanne J. Sterbing-D’Angelo (Psychological and Brain Sciences),
14:25Break – Mudd Auditorium Lobby
14:40Keynote Speaker
Big Scientific Data and Data Science
Tony Hey, PhD, Chief Data Scientist, Science & Technology Facilities, UK
15:30Seed Fund Update
Integrating Environmental Genomics Into Biogeochemical Models
Sarah Preheim, PhD, Department of Environmental Health & Engineering, Whiting School of Engineering, Johns Hopkins University
15:50Closing Remarks
S. Alexander Szalay, PhD, Director of IDIES, Bloomberg Distinguished Professor, Professor of Astrophysics & Computer Science, Johns Hopkins University
16:00Cocktail Reception – Mudd Auditorium Lobby

Poster Session

Poster #1: Big Data Approaches to Cancer Immunotherapy

Daphne E. Schlesinger1,3,4, Tricia Cottrell5, Peter Nguyen6,7, Sneha Berry6,7, Benjamin Green6,7, Nicolas Giraldo-Castillo5, Janice M. Taube5,6,7, and Alex Szalay1,2,3, 1Johns Hopkins Department of Physics & Astronomy; 2Johns Hopkins Department of Computer Science; 3The Institute for Data Intensive Engineering and Science; 4Johns Hopkins Department of Biomedical Engineering; 5Johns Hopkins Department of Pathology; 6Johns Hopkins Department of Dermatology; 7Bloomberg-Kimmel Institute for Cancer Immunotherapy

Poster #2: Characteristics and Causes of Denmark Strait Overflow Transport Variability

Mattia Almansi1, Thomas W. N. Haine1, Robert S. Pickart2, Marcello G. Magaldi3,1, Renske Gelderloos1, and Dana Mastropole2, 1Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland. 2Woods Hole Oceanographic Institution, Woods Hole, Massachusetts. 3CNR-Consiglio Nazionale delle Ricerche, ISMAR-Istituto di Scienze Marine, Lerici, Italy.

Poster #3: FaRSA for minimizing convex l_1-regularized functions

Tianyi Chen and Daniel P. Robinson, Applied Mathematics and Statistics, Johns Hopkins University

Poster #4: Getting started with recount2 and accessing it via R

Leonardo Collado-Torres1, 2, Abhinav Nellore3, 4, 5, Andrew E. Jaffe6, 7, 1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205; 2Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21205; 3Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, 97239; 4Department of Surgery, Oregon Health and Science University, Portland, OR, 97239; 5Computational Biology Program, Oregon Health and Science University, Portland, OR, 97239; 6Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205; 7Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205

Poster #5: Leveraging linked reads for single-sample somatic variant calling

Charlotte Darby, Ben Langmead, Michael Schatz, Computer Science, Johns Hopkins University

Poster #6: MEDE-DSC Integration Beyond MEDE

David C. Elbert*, 1, Nicholas S. Carey2, and Tamás Budavári3, 2, 4 **, 1. Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD 21218. 2. Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218. 3. Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218. 4. Hopkins Extreme Materials Institute Johns Hopkins University, Baltimore, MD 21218.

Poster #7: Materials In Extreme Environments (MEDE) Data Science Integration: MEDE Data Science Cloud, version 1

David C. Elbert*,1, Nicholas S. Carey2, Aavik Pakrasi and Tamás Budavári3, 2, 4 ** , 1. Department of Earth and Planetary Sciences, 2. Department of Computer Science, 3. Department of Applied Mathematics and Statistics, 4. Hopkins Extreme Materials Institute. Johns Hopkins University, Baltimore, MD 21218

Poster #8: Novel Cell Type-Specific Alternative Splicing Across the Nervous System

Jonathan Ling1, Christopher Wilks2,3, Abhinav Nellore4,5, Ben Langmead2,3, 1: Johns Hopkins University, Neuroscience, Baltimore, MD; 2: Johns Hopkins University, Computer Science, Baltimore, MD; 3: Johns Hopkins University, Center for Computational Biology, Baltimore, MD; 4: Oregon Health & Science University, Biomedical Engineering, Portland, OR; 5: Oregon Health & Science University, Surgery, Portland, OR

Poster #9: Probabilistic cross-identification of multiple catalogs in crowded fields

Xiaochen Shi, Tamas Budavari, and Amitabh Basu, Applied Mathematics and Statistics, Johns Hopkins University

Poster #10: Snaptron: a tool and service for studying splicing in tens of thousands of individuals

Christopher Wilks1,2, Jonathan Ling6, Phani Gaddipati4, Abhinav Nellore5,6, Ben Langmead1,2, 1. Department of Computer Science, Johns Hopkins University 2. Center for Computational Biology, Johns Hopkins University 3. Department of Neuroscience, Johns Hopkins University 4. Department of Biomedical Engineering, Johns Hopkins University 5. Department of Biomedical Engineering, Oregon Health & Science University 6. Department of Surgery, Oregon Health & Science University

Poster #12: The New SciServer: Collaborative Tools for Data-Driven Engineering and Science

Jordan Raddick, Evelin Bányai, Joseph Booker, Tamás Budavári, Camy Chhetri, László Dobos, Lance Joseph, Jai Won Kim, Gerard Lemson, Dmitry Medvedev, Victor Paul, Mike Rippin, Bonnie Souter, Alex Szalay, Manuchehr Taghizadeh-Popp, Ani Thakar, Jan Vandenberg, Sue Werner, Alainna White, IDIES

Poster #13: The role of topoisomerase II beta in the formation of transcriptional hubs in prostate cancer cells

Heather C Wick1,*, Michael Haffner2,3,*, David Esopi2, William Nelson2,3, Srinivasan Yegnasubramanian2,3,&, Sarah Wheelan1,2,&, 1: Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA, 2: Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA, 3: Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. *: Contributed equally; &: Co-mentors