_20180711111646AM.png "calling all Duke University PhD students in STEM fields - Come hear from alum Megan O'Connor (PhD'17) about Innovation Crossroads, an early stage entrepreneurial fellowship at Oak Ridge National Laboratory, sponsored by the USDOE Advanced Manufacturing Office. Info Session: Thursday, July 26, 10-11 a.m., Teer 115. Sponsored by Innovation Crossroads, Duke University Energy Initiative, CEE Sage, PhD Plus")
Innovation Crossroads Info Session for STEM PhD Students
Sponsor(s):
Energy Initiative, Biology, Chemistry, Civil and Environmental Engineering (CEE), Computer Science, Duke Innovation & Entrepreneurship Initiative, Graduate School, Information Initiative at Duke (iiD), Mathematics, Nicholas School of the Environment, PhD Plus Professional Development Program, Physics, Pratt School of Engineering, and Statistical Science
Thursday, July 26, 2018
10:00 am - 11:00 am
Megan O'Connor (PhD'17)
Data+ 2018 Poster Session
Sponsor(s):
Information Initiative at Duke (iiD), Art, Art History & Visual Studies, Bass Connections-Information, Society & Culture, Biology, Chemistry, Civil and Environmental Engineering (CEE), Computational Media, Arts & Cultures, Computer Science, Economics, Electrical and Computer Engineering (ECE), English, History, Mathematics, Philosophy, Program in Education, Psychology and Neuroscience, Sanford School of Public Policy, and Statistical Science
Friday, August 03, 2018
2:00 pm - 3:30 pm
Machine Learning Seminar: Jody Heck Wortman (Democratic National Committee Data Scientist)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 05, 2018
3:30 pm - 4:30 pm
Jody Heck Wortman
Machine Learning Seminar: Eva Lee (Georgia Tech)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 19, 2018
3:30 pm - 4:30 pm
Eva Lee
Machine Learning Seminar: Sayan Mukherjee (Duke University Statistics)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 26, 2018
3:30 pm - 4:30 pm
Sayan Mukherjee
Machine Learning Seminar: Tom Mitchell (Carnegie Mellon)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 04, 2018
3:30 pm - 4:30 pm
Tom Mitchell
Machine Learning Seminar: Adrian Raftery (Univ. of Washington Statistics/Sociology)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 10, 2018
3:30 pm - 4:30 pm
Adrian Raftery (Univ. of Washington Statistics/Sociology)
Machine Learning Seminar: Jason Eisner (Johns Hopkins CS Dept)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 17, 2018
3:30 pm - 4:30 pm
Jason Eisner (Johns Hopkins CS Dept)
Machine Learning Seminar: Daniel Bienstock (Columbia University)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 24, 2018
3:30 pm - 4:30 pm
Daniel Bienstock (Columbia University)
Machine Learning Seminar: Michael Kearns (Univ. of Pennsylvania CS Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, November 07, 2018
3:30 pm - 4:30 pm
Michael Kearns (Univ. of Pennsylvania CS Dept.)
Machine Learning Seminar: Thorsten Joachims (Cornell CS Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, November 14, 2018
3:30 pm - 4:30 pm
Thorsten Joachims (Cornell CS Dept.)
Machine Learning Seminar: Kathleen McKeown (Columbia Univ. CS Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, November 28, 2018
3:30 pm - 4:30 pm
Kathleen McKeown (Columbia Univ. CS Dept.)
Machine Learning Seminar: Pierre Jacob (Harvard University Statistics Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, December 05, 2018
3:30 pm - 4:30 pm
Pierre Jacob (Harvard University Statistics Dept.)
