6th Annual CDSE Days

March 30 - April 3, 2020 | University at Buffalo | Buffalo, NY

researchers in the center for computational research.
student working on computer.
center for computational research.

Overview of CDSE Days 2020

CDSE Days is an annual event that connects students and faculty from UB and regional colleges and universities, and professionals from local industry, with some of the nation's most prominent scholars of computational and data-enabled science. CDSE Days is a week in Buffalo filled with workshops, lectures, and networking.

The CDSE Days 2020 agenda includes research talks on timely subjects such as the opioid epidemic, polling data analysis, and high-performance computing in the chemical sciences. Instructional workshops will also be conducted on python, agent-based computational models (ABM), blockchain, SQL, machine learning, and using UB’s Center for Computational Research (CCR). The week will end with TED-style talks from industry partners and sessions on career opportunities for computational scientists. 

CDSE Days 2020 Agenda

Below is a tentative agenda.

Monday, March 30

Time Session Type Topic Speaker
9:00 am - 12:00 pm Workshop Python Bernard Badzioch
1:00 pm - 3:00 pm Tutorial / Workshop Agent Based Modeling Tutorial Sara Metcalf
3:30 pm - 4:15 pm Lecture Predictive Multiscale Agent-Based Model of Tumor Growth Danial Faghihi
4:15 pm - 5:15 pm Keynote Computational Modeling of Drug Overdose Deaths Donald Burke
5:30 pm - 7:00 pm Reception Research Poster Session and Reception  

Tuesday, March 31

Time Session Type Topic Speaker
9:00 am - 12:00 pm Workshop CCR TBD
1:00 pm - 3:00 pm Workshop Using Git, LaTeX, and Make for Research Projects Matt Knepley
3:30 pm - 4:00 pm Lecture Machine Learning on Ground Vibrations Tolulope Olugboji
4:00 pm - 5:00 pm Keynote Fast Solvers: Algorithms and Applications in Science and Engineering Mark Adams

Wednesday, April 1

Time Session Type Topic Speaker
9:00 am - 12:00 pm Workshop Blockchain  
1:00 pm - 3:00 pm Workshop SQL + Databases Pavankumar Mulgund
3:30 pm - 4:00 pm Lecture What 1936 Can Teach us about 2016 (and possibly 2020): Poll Aggregation, the Limits of Big Data, and Another Look at Nonresponse Bias Jake Neiheisel
4:00 pm - 5:00 pm Keynote Data Science in Polling and Electioneering Andy Smith
5:00 pm - 6:00 pm Roundtable Discussion Data Science in Polling and Electioneering Moderated by Jim Campbell

Thursday, April 2

Time Session Type Topic Speaker
9:00 am - 12:00 pm Workshop Elementary Machine Learning Kenny Davila and Ranga Setlur
4:00 pm - 7:00 pm TED-Style Talks Data Science for Business  
  • 4:15 pm
  ACV Auctions Dan Magnuszewski
  • 4:30 pm
  Linde (formerly Praxair) Larry Meegan
  • 4:45 pm
  M&T Allison Sagraves
  • 5:00 pm 
  TBD TBD
  • 5:15 pm - 6:00 pm
Panel Discussion TED-Style Talk Speakers All speakers
  • 6:00 pm - 7:00 pm
Reception Networking Reception  

Friday, April 3

Time Session Type Speaker
TBD Career Perspectives TBD

Event Start Date: March 30, 2020