Tag Archives: seminars

YINS 4/10: John Tsitsiklis, “Safeguarding Privacy in Sequential Decision-Making Problems”

YINS Distinguished Lecturer Series

“Safeguarding Privacy in Sequential Decision-Making Problems”

Speaker: John Tsitsiklis

Clarence J. Lebel Professor of Electrical Engineering and Computer Science at MIT

Wednesday, April 10, 2019 – 12:00pm

Yale Institute for Network Science | 17 Hillhouse Avenue, 3rd floor | New Haven, CT 06511

Abstract: With the increasing ubiquity of large-scale surveillance and data analysis infrastructures, privacy has become a pressing concern in many domains. We propose a framework for studying a fundamental cost vs. privacy tradeoff in dynamic decision-making problems. More concretely, we are interested in ways that an agent can take actions that make progress towards a certain goal, while minimizing the information revealed to a powerful adversary who monitors these actions. We will examine two well-known decision problems (path planning and active learning), and in both cases establish sharp tradeoffs between obfuscation effort and level of privacy. As a byproduct, our analysis also leads to simple yet provably optimal obfuscation strategies. Based on joint work with Kuang Xu (Stanford) and Zhi Xu (MIT).

Speaker bio: John Tsitsiklis is the Clarence J. Lebel Professor of Electrical Engineering and Computer Science at MIT, and a member of the National Academy of Engineering. He obtained his PhD from MIT and joined the faculty in 1984. His research focuses on the analysis and control of stochastic systems, including applications in various domains, from computer networks to finance. He has been teaching probability for over 15 years.

Virus & Other Infectious-Associated Cancers Retreat

Amy Justice and Walther Mothes; program leaders of the VOIC Research Program, invite you to the Virus & Other Infection-associated Cancer Program Retreat being held on Tuesday, April 30, 2019 in Hope H216.

Attached is agenda and flyer for the event. SPACE IS LIMITED.

Please contact Susan Silva (susan.silva@yale.edu) with any questions.

2019 Agenda – Final Single Page – V2.pdf

Secondary_appt Department-cs FW: Joint Biostatistics, CS, and S&DS Talk, Bin Yu, 4/1, “Three principles of data science: predictability, computability, and stability “, DL 220

Joint Biostatistics, CS, and S&DS

BIN YU, University of California, Berkeley

Date: Monday, April 01, 2019

Time: 4:00PM to 5:15PM

Dunham Lab. see map

10 Hillhouse Avenue, Rm. 220

New Haven, CT 06511

Website

Title: Three principles of data science: predictability,
computability, and stability (PCS)

Information and Abstract:

In this talk, I’d like to discuss the intertwining importance and connections of three principles of data science in the title and the PCS workflow that is built on the three principles. The principles will be demonstrated in the context of two collaborative projects in neuroscience and genomics for interpretable data results and testable hypothesis generation. If time allows, I will present proposed PCS inference that includes perturbation intervals and PCS hypothesis testing. The PCS inference uses prediction screening and takes into account both data and model perturbations. Finally, a PCS
documentation is proposed based on Rmarkdown, iPython, or Jupyter Notebook, with publicly available, reproducible codes and narratives to back up human choices made throughout an analysis. The PCS workflow and documentation are demonstrated in a genomics case study available on Zenodo.

3:45 p.m. Pre-talk tea Dunham Lab, Suite 222, Breakroom 228

For more details and upcoming events visit our website at
http://statistics.yale.edu/ .

MB&B Seminar: “Proton-Coupled Electron Transfer in Enzymes and Photoreceptor Proteins”

MB&B Seminar:
"Proton-Coupled Electron Transfer in Enzymes and Photoreceptor Proteins"

Dear All:

Please find the MB&B seminar flyer for Sharon Hammes-Schiffer, presenting Monday, January 28, 2019.

Speaker: Sharon Hammes-Schiffer
Title: "Proton-Coupled Electron Transfer in Enzymes and Photoreceptor Proteins"
Date: Monday, January 28, 2019
Time & Place: 4:00 pm, Bass 305
Host: Tony Koleske

ADMINS PLEASE POST

Thank you,
Shanna

Department of Molecular Biophysics and Biochemistry

Contact Email.
Copyright © Yale University • All rights reserved

Message to Yale Community about 2018 Day of Data – small correction

You are invited to attend the 6th annual Yale Day of Data on November 30 in Sterling Memorial Library.

The Yale Day of Data brings together researchers and data experts from across the disciplines to share experiences, challenges, and best practices related to data-intensive research. If you collect, manage, analyze, interpret, or otherwise work with data, this event is for you.

This year’s theme, “Data on Earth,” is intentionally broad, to encompass data about the Earth and the environment, data that help us understand the health and lives of Earth’s inhabitants, and data with global impact.

Keynote: William Michener (Principal Investigator of DataONE, Professor and Director of e-Science Initiatives, University Libraries, University of New Mexico), “Managing Data Throughout the Research Life Cycle to Enable New Science and Support Decision Making”

Talks by Yale faculty and researchers: Tracey Meares, Dena
Schulman-Green, Karen Seto, Alan Gerber, Jessi Cisewski, Casey King, Martin Wainstein & Sophie Janaskie

Registration is now open for the 2018 Yale Day of
Data:https://elischolar.library.yale.edu/dayofdata/2018/.

Mbbfac REVISED for CLARITY: SAVE THE DATES: 2018-2019 Search candidate visit dates confirmed

Lilian Kabeche, 10/22-10/24 (Monday seminar, Wednesday chalk talk; shared visit w/YCBI)
Morgan DeSantis, 11/5-11/6 (Monday seminar, Tuesday chalk talk) Seychelle Vos, 11/7-11/8 (Wednesday seminar, Thursday chalk talk) Anders Hansen, 11/26-11/28 (Monday seminar, Wednesday chalk talk; shared visit w/YCBI)
Franziska Bleichert, 12/3-12/4 (Monday seminar, Tuesday chalk talk)