Important announcement: The Lunch Seminar is back to being held in an in-person format. All seminars will take place at 12:30 on Wednesdays in the CDS open space. Talks will be recorded and shared here when possible.
The Data Science Lunch Seminar Series is an informal weekly gathering of NYU Data Science affiliated persons to discuss data science related topics. The series meets Wednesdays from 12:30-2:00 PM at the Center for Data Science.
The lunch seminar is organized by CDS Faculty Fellows Yoav Wald and Elisha Cohen. Please contact Yoav and Elisha if you are interested in giving a talk.
UPCOMING SEMINARS
2023-2024 Series
- September 13
- Taylor Kilian, University of Toronto
- September 20
- Claudia Shi, Columbia University
- September 27
- Florentin Guth, NYU
- October 4
- Berfin Simsek, NYU
- October 11
- Cory McCartan, NYU
- October 25
- Aahlad Puli, NYU
- November 15
- Sebastian Wagner-Carena, NYU
- November 29
- Saadia Gabriel, NYU
- December 6
- Mor Naaman, Cornell Tech
Previous Seminars
2022-2023 Series
SPRING 2023
- February 2
- Maximilian Dax, Max Planck Institute for Intelligent Systems
- February 8
- Yang Feng, NYU Biostatistics & CD
- February 15
- Andrew Caplin, NYU
- March 1
- Swapneel Mehta, CDS
- March 8
- Yoav Wald
- March 22
- Ofir Press
- March 29
- Tom Leavitt
- April 12
- Mohsen Mosleh
FALL 2022
- September 14
- Sophie Hao, New York University
- September 21
- Bryant Moy, New York University
- September 28
- Mark Ho, New York University
- October 5
- Jason Altschuler, New York University
- October 12
- Mengye Ren, New York University
- October 19
- Cancelled
- October 26
- Qi Lei, New York University
- November 2
- Grace Lindsay, New York University
- November 9
- Tim G. J. Rudner, New York University
- November 16
- Elisha Cohen, New York University
2021-2022 Series
Spring 2022
- January 26
Nora Webb Williams, University of Illinois at Urbana-Champaign. “Images as data in social science research: Where we are and where we’re headed”
View Recording - February 23
Alex Williams, NYU
“Statistical methods to characterize variability and individuality in neural recordings”
**In person** - March 2
Dani S. Bassett, University of Pennsylvania
“The curious human”
View Recording - March 9
Francesco Locatello, Amazon AWS
“From Distributed Representations to Causal Representation Learning” - March 23
Duygu Ataman, NYU
“Quantifying Synthesis and Fusion and their Impact on Machine Translation”
Recording available upon request - March 30
Alex Hanna, DAIR
“Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data”
Recording available upon request - April 6
Manish Raghavan, MIT
“The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization”
View Recording - April 13
Naomi Saphra, NYU, IN-PERSON
“How Text Models Acquire Syntax” - April 20
Maimuna (Maia) Majumder, Harvard Medical School/Boston Children’s Hospital
“Machine Learning Research Applications During the First Year of the COVID-19 Pandemic”
View Recording - April 27
Yasaman Bahri, Google
“Neural Scaling Laws: Theory and Practice”
View Recording - May 4
Ashia Wilson, MIT
“Socially-aware ML via Influence Functions”
View Recording
Fall 2021
- September 15
Lihua Lei, Stanford Statistics, “Conformal Inference of Counterfactuals and Individual Treatment Effects”
View recording - September 22
Ravid Shwartz-Ziv, NYU Center for Data Science, “Compression in deep learning – an information theory perspective”
View recording - September 29
Najoung Kim, NYU Center for Data Science, “Compositional Linguistic Generalization in Sequence-to-Sequence Learners” - October 6
Vincent Divol, NYU Center for Data Science/Courant, “Quantifying the topology of datasets using Topological Data Analysis”
View recording - October 13
Marco Morucci, NYU Center for Data Science, “Matched Machine Learning: A Generalized Matching Framework for Treatment Effect Inference With Learned Metrics”
View recording - October 20
Jacopo Cirrone, NYU Center for Data Science, “OutPredict: multiple datasets can improve prediction of expression and inference of causality”
View recording - October 27
Ana Isabel Bento, Indiana University, “The role of data in a world reshaped by COVID-19”
View recording - November 3
Andy Halterman, NYU Center for Data Science, “Extracting Political Events from Text Using Syntax and Semantics”
View recording - November 10
Danica J. Sutherland, University of British Columbia, “Can Uniform Convergence Explain Interpolation Learning?”
View recording - November 17
Ceren Budak, University of Michigan, “Quantifying Political Phenomena on Social Media: Challenges in Data Collection, Labeling, and Classification”
View recording - November 24 — No seminar (Thanksgiving)
- December 1
Maithra Raghu, Google, “How Neural Networks See, Learn and Forget”
View recording - December 8
Casey Fiesler, University of Colorado Boulder, “Data Is People: Unintended Consequences in AI and Data Science”
View recording

PAST SEMINARS
2020-2021 Series
- September 9, 2020
Liza Rebrova, UCLA, “Tensor methods: dynamic topic modeling and modewise dimension reduction“ | Liza Rebrova Live Stream Recording - September 16, 2020
Lerrel Pinto, NYU Computer Science, “Data Driven Robot Learning“ | Lerrel Pinto Live Stream Recording - September 23, 2020
Wenda Zhou, NYU Center for Data Science, “New perspectives on cross validation” | Wenda Zhou Live Stream Recording - September 30, 2020
Alberto Bietti, NYU Center for Data Science, “Foundations of Deep Convolutional Models Through Kernel Methods“ | Alberto Bietti Live Stream Recording - October 7, 2020
Tal Linzen, NYU Center for Data Science, “Syntactic Generalization in Natural Language Inference” | Tal Linzen Live Stream Recording - October 14, 2020
***No talk, MSDSE Annual Summit*** - October 21, 2020
Sarah Shugars, NYU Center for Data Science, “Voice and Inequality in the Spread of COVID-19 Information and Misinformation” | Sarah Shugars Live Stream Recording - October 28, 2020
Angela Radulescu, NYU Center for Data Science, “Towards learning to represent everyday tasks” | Angela Radulescu Live Stream Recording - November 4, 2020
George Wood, NYU Center for Data Science, “A Cartography of Policing and the Use of Force in Chicago“ | George Wood Live Stream Recording - November 11, 2020
Marylou Gabrie, NYU Center for Data Science, “Priors for Inverse Problems: Neural Networks to go beyond Sparsity” | Marylou Garbie Live Stream Recording - November 18, 2020
Jamie Haddock, UCLA, “Semi-supervised Nonnegative Matrix Factorization Models for Topic Modeling in Learning Tasks and Guided Topic Modeling” | Jamie Haddock Live Stream Recording - November 25, 2020
***No talk, Thanksgiving*** - December 2, 2020
Yulia Gel, UT Dallas, “Topological Clustering of Multilayer Networks” | Yulia Gel Live Stream Recording - December 9, 2020
Gemma Roig, Goethe University Frankfurt / MIT, “Task-specific Vision DNN Models and Their Relation for Explaining Different Areas of the Visual Cortex” | Gemma Roig Live Stream Recording - January 27, 2021
Allison Chaney, Duke School of Business, “How Recommendation System Feedback Loops Disproportionately Hurt Users with Minority Preferences” | Allison Chaney Live Stream Recording - February 3, 2021
Farah Shamout, NYU Abu Dhabi, “An AI System for Predicting the Deterioration of Patients with COVID-19 in the Emergency Department” | Farah Shamout Live Stream Recording - February 10, 2021
Anton Strezhnev, NYU Center for Data Science, “Decomposing Causal Regression Estimators with Many Fixed Effects” | Anton Strezhnev Live Stream Recording - February 17, 2021
Dean Knox, UPenn, “ε-sharp Bounds for Partially Observed Causal Processes: Testing for Racial Bias in Policing by Fusing Incomplete Records” - February 24, 2021
Abubakar Abid, Stanford University/gradio.app, “Interactive UIs for Your Machine Learning Models” | Abubakar Abid Live Stream Recording - March 3, 2021
Siddharth Bhatia, National University of Singapore (NUS), “Real-Time Anomaly Detection and Generation” | Siddharth Bhatia Live Stream Recording - March 10, 2021
Arturo Fernandez, Uber Eats, “Data Science at Uber Eats” - March 17, 2021
***No lunch seminar*** - March 24, 2021
Cuneyt Akcora, University of Manitoba, “Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain” | Cuneyt Akcora Live Stream Recording (captions coming soon) - March 31, 2021
Tanya Berger-Wolf, Ohio State University, “Trustworthy AI for Wildlife Conservation: AI and Humans Combating Extinction Together” | Tanya Berger-Wolf Live Stream Recording (captions coming soon) - April 7, 2021
Pascal Wallisch, NYU, “Investigating cognitive and affective responses to music at high power, utilizing a multiplexing design“ | Pascal Wallisch Live Stream Recording (captions coming soon) - April 14, 2021
Alex Rutherford, Max Planck Institute - April 21, 2021
Bianca Dumitrascu, University of Cambridge - April 28, 2021
Sumit Chopra, Courant Institute of Mathematical Sciences - May 5, 2021
Talmo Pereira, Princeton University - May 12, 2021
OluFemi A. Omitaomu, ORNL
2019-2020 Series
- September 18, 2019
Andrew Wilson, New York University, “How do we build models that learn and generalize?” - September 25, 2019
He He, New York University - October 2, 2019
Leo Miolane, CDS Fellow - October 9, 2019
Elena Sizikova, MSDSE/CDS Fellow - October 16, 2019
Ilias Zadik, MSDSE/CDS Fellow - October 23, 2019
Wai Keen Vong, CDS Postdoc - October 30, 2019
Anton Strezhnev, MSDSE/CDS Fellow - November 6, 2019
***No talk, MSDSE Annual Summit*** - November 13, 2019
Gus Xia, NYU Shanghai - November 20, 2019
Clara Vania, CDS Postdoc - November 27, 2019
***No talk, Thanksgiving*** - December 4, 2019
Brandon Stewart, Princeton University - December 11, 2019
Yiqiu Shen, New York University - January 29, 2020
Aaron Kaufman, New York University Abu Dhabi / Live Stream Recording - February 5, 2020
Matthew Trager, New York University / Live Stream Recording - February 12, 2020
Simon DeDeo, Carnegie Mellon University | Live Stream Recording - February 19, 2020
Michael Picheny, New York University | Live Stream Recording - February 26, 2020
Wesley Maddox, New York University, “Bayesian neural nets” | Live Stream Recording - March 4, 2020
David Uminsky, University of San Francisco | Live Stream Recording - March 11, 2020
***Cancelled*** - March 18, 2020
***No seminar (Spring Break)*** - March 25, 2020
***Cancelled*** - April 1, 2020
David Frohardt-Lane, Sports analytics | Live Stream via Zoom (see CDS community email for details, or contact organizers) - April 8, 2020
Clark Bernier, NYU Center for Data Science | Live Stream via Zoom (see CDS community email for details, or contact organizers) - April 15, 2020
Richard Anderson, Fubar Labs | Live Stream via Zoom (see CDS community email for details, or contact organizers) - April 22, 2020
Tamas Rudas, Eotvos Lorand University | Live Stream via Zoom (see CDS community email for details, or contact organizers) - April 29, 2020
Anastasios Noulas, NYU Center for Data Science | Live Stream via Zoom (see CDS community email for details, or contact organizers) - May 6, 2020
Clark Bernier, NYU Center for Data Science | Live Stream via Zoom (see CDS community email for details, or contact organizers) - May 13, 2020
Luigi Acerbi, Université de Genève | Live Stream via Zoom (see CDS community email for details, or contact organizers)
2018-2019 Series
- September 19, 2018
Roberto Di Cosmo, IRILL, “Software Heritage: The universal software source code archive” - September 26, 2018
Karen E Adolph, NYU Databrary Project, “Video as Data and Documentation Will Transform Behavioral Science” - October 3, 2018
Matthew Rocklin, Continuum Analytics, “Scalable Analysis in Python with Dask” - October 10, 2018
***No seminar (MSDSE Summit)*** - October 17, 2018
Benny Nissan, Federal Reserve Bank of New York, “Solving Business Challenges with Data Science at the Federal Reserve of New York” - October 24, 2018
William Falcon, New York University, “Life outside the box – Scaling and tuning huge neural networks across
multiple GPUs” - October 31, 2018
Stefan Karpinski, MSDSE Research Engineer, “An Intro to Julia for Data Science” - November 7, 2018
Timo Ropinski, University of Ulm, “Interactive Visualization Techniques for Molecular Structures” - November 14, 2018
Sam McKenzie, Buzsaki lab, “Extracting synaptic properties from the spiking patterns of neural ensembles” - November 21, 2018
***No seminar (Thanksgiving)*** - November 28, 2018
Joseph Bullock, Global Pulse / United Nation, “Satellite image analysis for humanitarian relief” - December 5, 2018
Elizabeth Bruch, University of Michigan, “How (and Why) Online Dating Experiences Differ across American Cities” - December 12, 2018
Sebastian Schelter, Moore-Sloan Data Science Fellow, “Data Management for Machine Learning (and a little bit of Computational Social Science)” - January 30, 2019
Narges Razavian, NYU Medical School + NYU CILVR lab
“Machine Learning in Medicine: Disease Prediction and Biomarker Discovery” - February 6, 2019
Mark Cartwright, NYU CUSP
“Building a machine-listening system to monitor, analyze, and mitigate urban noise pollution” - February 13, 2019
Qing Qu, MSDSE Fellow
“Nonconvex Recovery of Low-Complexity Models in Data Science” - February 20, 2019
Will Geary, CitySwifter
“Space-Time Modeling and Visualization for Mobility” - February 27, 2019
Soledad Villar, MSDSE/CDS Fellow
“Classification-aware dimensionality reduction and genetic marker selection” - March 6, 2019
Matthew Daniels, The Pudding
Data-driven Storytelling at The Pudding - March 13, 2019
Thomas Laetsch, MSDSE Postdoc
“A drunkard’s walk into Sociology” - March 20, 2019
***No talk, NYU Spring Break*** - March 27, 2019
Igor Labutov, LAER.AI
“Teaching Machines like we Teach People” - April 3, 2019
Phu-Mon Htut, CDS PhD Candidate
“Learning Latent Syntactic Structure of Language through Neural Machine Translation” - April 10, 2019
Guilio Biroli, Ecole Normale Superieure in Paris - April 17, 2019
Martina Balestra, NYU Tandon School of Engineering - April 24, 2019
Krzysztof Geras, NYU School of Medicine & CDS - May 1, 2019
Richard Shen/Carolin Fleissner, Wayve - May 8, 2019
Emin Orhan, CDS Postdoc - May 15, 2019
Petter Kolm, NYU Mathematics - May 29, 2019 *Special lunch seminar!*
Julia Lane, NYU Wagner
“Making Data Great Again”
2017-2018 Series
- September 13, 2017
Tassos Noulas, Moore-Sloan Fellow
“OpenStreetCab: Insights and Challenges when Deploying a Taxi Price Comparison App in the Wild” - September 20, 2017
Djellel Difallah, Moore-Sloan Fellow
“The Dynamics of Crowdsourcing Platforms: The case of Amazon Mechanical Turk and Wikidata” - September 27, 2017
Mirco Musolesi, UCL / Alan Turing Institute
“Modelling Human Behaviour using Mobile Data for Urban Analytics” - October 4, 2017
Carlos Fontaine, Center for Genomics & Systems Biology, NYU
“Using high-throughput live microscopy and image analysis to study cell cooperation in cancer” - October 11, 2017
Enrique Cruz, Foursquare
“Foursquare Location Intelligence” - October 18, 2017
Paula Parpart, Brainpool.ai/University College London - October 25, 2017
Chaya D Stern, Memorial Sloan Kettering Cancer Center and Tri-Institutional Chemical Biology Program
“Is the force with us? Quantifying model uncertainty in molecular simulations” - November 1, 2017
Kyle Cranmer, NYU - November 8, 2017
***No seminar (MSDSE Summit)*** - November 15, 2017
Benjamin Cook, NASA Goddard Institute for Space Studies
“Monitoring and Modeling Drought and Climate Change from the Past to the Future” - November 22, 2017
***No seminar (Thanksgiving)*** - November 29, 2017
Marc Gourevitch - December 6, 2017
Ward Wheeler, American Museum of Natural History - December 13, 2017
Yelena Mejova, Qatar Computing Research Institute
“Capturing Social Media Signals for Lifestyle Health” - January 24, 2018
Andreu Casas, MSDSE Postdoc in the Center for Data Science
“More Effective Than We Thought: Accounting for Legislative Hitchhikers Reveals a More Inclusive and Productive Lawmaking Process” - January 31, 2018
Harish Doraiswamy, MSDSE Research Engineer in the Center for Data Science
“Speeding up queries over large spatio-temporal data sets” - February 7, 2018
Soledad Villar, MSDSE Fellow in the Center for Data Science
“Gerrymandering and Math” - February 14, 2018
Vladimir Gligorijevic, New York University
“Deep Multi-network Embedding for Protein Function Prediction” - February 21, 2018
Richard Galvez, MSDSE Postdoc in the Center for Data Science
“The First Three Minutes: an exposition on how nuclear elements formed in the early universe and an unsolved mystery involving dark matter and Beryllium-7” - February 28, 2018
Leto Peel, University of Louvain / Namur - March 7, 2018
Esteban Moro, Universidad Carlos III de Madrid / MIT - March 14, 2018
***No seminar (Spring Break)*** - March 21, 2018
Leila Mays, NASA Goddard Space Flight Center, Community Coordinated Modeling Center - March 28, 2018
Neil Bramley, MSDSE Postdoc in the Center for Data Science - April 4, 2018
AI Now Institute - April 11, 2018
Adam Summers, Friday Harbor Laboratory, University of Washington - April 18, 2018
Geoff Boeing, UC Berkeley - April 25, 2018
Iddo Drori, NYU - May 2, 2018
Katharina Kann - May 9, 2018
Julia Stoyanovich, Drexel University
“Algorithms and Systems for Responsible Data Science” - May 16, 2018
Laura Noren
“Three Ethical Challenges for Data Science”
2016-2017 Series
- September 14, 2016
Juliana Freire, Executive Director of Moore-Sloan Data Science Environment - September 21, 2016
Eleni Zacharatou, “Indexing the Brain” - September 28, 2016
Michael Z. Gill, “The Economic Benefits of Conflict? Estimating Defense Firm Responses to Major Events in U.S. Foreign Policy” - October 5, 2016
Ravi Shroff - October 12, 2016 (special time 1:00-2:00pm)
- October 19, 2016
Anil Kocak - October 26, 2016
***No lunch, MSDSE 2016 Data Science Summit*** - November 4, 2016 (special day, Friday)
Shankar Iyer, Quora - November 9, 2016
danah boyd, Microsoft Research - November 16, 2016
Max Sklar, Foursquare November 21, 2016 (special day, Monday)Mike Williams, Fast Forward Labs***CANCELED***- November 30, 2016
Manuel Garcia-Herranz, UNICEF Innovation - December 7, 2016
Jason Anastasopoulos - December 14, 2016
Rossano Schifanella, University of Torino - February 1, 2017
Justin Salamon, “Audio Source Identification in Urban/Bio-Acoustic Environments”. - February 8, 2017
Alexander Bock, “OpenSpace — Moving from What to How in Science Communication” - February 15, 2017
Nicola Barbieri, Tumblr - February 22, 2017
Yannis Liodakis, “Revealing the intrinsic timescale distribution in the most active of galaxies” - March 1, 2017
Piotr Brodka, Wroclaw University of Science and Technology (Poland), “Current Challenges in the Area of Spreading Processes in Multilayer Networks” - March 8, 2017
Jaime Earnest, DoD, “Future State: Big Data and Analytics for Better Governance” - March 15, 2017
Spring Break – No lunch seminar - March 23, 2017, 1:30-2:30
Noemi Derzsy, RPI, NASA DataNauts, “Open NASA Data: From API to Data Analysis” - March 29, 2017
Partha Mithra - April 5, 2017
TBD - April 12, 2017
Yana Volkovich, AppNexus - April 19, 2017
Hannah Wallach, Data and Society - April 26, 2017
Ciro Cattuto, Fondazione ISI - May 3, 2017
Mor Naman, “Patterns of Large-Scale Attention” - MAY 10, 2017
Enrico Bertini
2015-2016 Series
- November 9th
Meredith Broussard, Assistant Professor, Journalism
Topic: Data for Democracy: Uncovering Stories in Government Data - November 16th
Juan Bello, Associate Professor, Music Technology - November 23rd
No meeting - November 30th
Mohamed Zahran, Clinical Associate Professor, Computer Science
Topic: Hardware Advances Benefiting Data Science - December 7th
No Meeting - December 14th
Emily Miraldi, Postdoctoral Researcher, Simons Center for Data Analysis - January 27, 2016
Lightning talks by Data Science Fellows and Postdocs, NYU, Center for Data Science - February 3, 2016 (special time: 12-1pm)
Heiko Müller, NYU, CDS - February 10, 2016
Kyle Cranmer, NYU, Physics - February 17, 2016
Lars Backstrom, Facebook - February 24, 2016 (special time: 12-1.30pm)
Joint PRIISM/CDS talk: Michael Betancourt, University of Warwick - March 2, 2016
Alfred Spector, CTO of Two Sigma - March 9, 2016
Uri Shalit, NYU, Computer Science - March 16, 2016
No seminar (Spring break) - March 23, 2016
Michael Blanton, NYU, Physics - March 31, 2016 (special day: THURSDAY)
Daniel Fernández, NYU, CDS - April 6, 2016
Rumi Chunara, NYU, CS & Engineering, Global Institute of Public Health - April 13, 2016
Andy Guess, NYU, Social Media Lab - April 20, 2016
Boris Leistedt, NYU, Center of Cosmology and Particle Physics - April 27, 2016
Sunandan Chakraborty, NYU, CDS - May 4, 2016
Daphna Harel, NYU, Steinhardt - May 11, 2016
Laura Norén, NYU, CDS
2014-2015 Series
- October 28th
Ken Benoit, Visiting Professor from the London School of Economics
Topic: Quantitative Text Analysis for the Social Sciences (Using R): Natural language processing and quantitative analysis of social and political texts, using an R package called quanteda (http://github.com/kbenoit/quanteda) that he is developing. - November 5th
Jonathan Goodman, Professor of Mathematics
Topic: The hermeneutics of MCMC sampling: points of view about samplers, some of which don’t depend on your point of view. - November 13th
Greg Dobler, Research Scientist at CUSP and a Research Assistant Professor of Physics at NYU
Topic: Better Cities through Imaging: I will describe how persistent, synoptic imaging of the NYC skyline can be used to better understand the city (in analogy to how persistent, synoptic imaging of the sky can be used to better understand the heavens), giving specific examples related to energy consumption, public health, and air quality which can lead to improved city functioning and quality of life. - December 1st
Pablo Barbera, PhD Candidate in Politics
Topic: How Social Media Reduces Mass Political Polarization: Using a new method to estimate the ideological positions of social media users and their communication networks over time, I provide evidence that exposure to dissonant political messages on social media induces political moderation. For the paper, click here. - December 9th
Mike O’Neil, Assistant Professor, School of Engineering and Courant Institute
Topic: Fast Algorithms for Gaussian Processes - February 5th
Ying Lu, Assistant Professor of Applied Statistics at NYU and
Dr. Preeti Raghavan, Assistant Professor at NYU Medical Center
Topic: Quantifying Feedforward Control: A Linear Scaling Model for Fingertip Forces and Object Weight
In this paper, we fit a linear growth curve to the biomechanical data of grasping in order to understand the relationship between fingertip forces and object weight among healthy subjects. Our results show evidence of feedforward control during the grasping task when healthy subject grasp/lift an object with familiar weights. - February 23rd
Daniela Huppenkothen, Moore Sloan Data Science Fellow at NYU
Topic: Exploring the Violent Universe: Astrophysical Data (Analysis) at High Energies
This talk will give an introduction into astronomy at very short wavelengths, where we see the universe’s most extreme phenomena, and showcase typical data analysis problems—some of which we are working on at the CDS—which we have to solve in order to understand the underlying physical processes. - March 3rd
Aaditya Rangan, Associate Professor of Mathematics at NYU
Topic: Efficient Methods for Detecting Low Rank Structure
Discussion of some methods for finding low-rank submatrices within gene-expression data; It will be necessary to correct for case-control status as well as covariates. - March 11th
Tae Hong Park, Associate Professor of Composition and Music Technology at NYU
Topic: CityGram: Sensing Urban Soundscapes
Dynamic mapping of non-ocular spatio-acoustic energies. - March 27th
Lakshminarayanan Subramanian, Associate Professor of Computer Science at NYU
Topic: Societal Network Science
Predicting Socio-economic indicators from real-time news streams - April 8th
Patrick Wolfe, Professor of Statistics and Honorary Professor of Computer Science at University College London
Topic: Network Analysis and Nonparametric Statistics
Networks are ubiquitous in today’s world. Any time we make observations about people, places, or things and the interactions between them, we have a network. Yet a quantitative understanding of real-world networks is in its infancy, and must be based on strong theoretical and methodological foundations. The goal of this talk is to provide some insight into these foundations from the perspective of nonparametric statistics, in particular how trade-offs between model complexity and parsimony can be balanced to yield practical algorithms with provable properties. - April 13th
Karen Adolph, Professor of Psychology and Neural Science at NYU
Topic: Databrary and Datavyu: Coding, Sharing, and Repurposing Video
A description of the promises and challenges of coding, sharing, and repurposing video data - April 23rd
Yoni Halpern, Graduate Student in the Computer Science Department at NYU
Topic: Provable Methods for Discrete Factor Analysis
This talk will cover methods for structure and parameter learning in latent variable models and discuss an application for learning diagnosis models from unstructured data in electronic medical records. - April 29th
Joshua Tucker, Professor of Politics at NYU
Topic: Using Social Media to Study Politics
How can we use social media to study the political behavior of masses and elites? What we can do, what we can sort of do, and what we’d like to be able to figure out how to do… - May 5th
Dan Brown, Associate Professor of Computer Science at the University of Waterloo
Topic: Do better lyrics make a hit? Complexity of rhymes in music lyrics
2013-2014 Series
- September 14th
Jean-Daniel Fekete, Senior Research Scientist, INRIA Saclay
Topic: Progressive Analytics: A New Programming Paradigm for Large-Scale Data Exploration - September 21st
Kyunghyun Cho, Assistant Professor, Computer Science and Data Science
Topic: Lost in Interpretability
I hear from non-ML as well as ML researchers once a while that they find it difficult to work with neural networks due to the lack of interpretability compared to other simpler models which are in many cases some variants of linear models. This has always made me wonder if there is a natural tradeoff between interpretability and modelling accuracy. In this talk, however, I argue that no such tradeoff exists, which has been argued already more than a decade ago by Breiman (2001). Furthermore, I present some recent results from deep learning showing that seemingly complex models, such as deep neural nets and recurrent neural nets, are in fact interpretable, if we try hard enough. - September 28th
Arthur Spirling, Associate Professor, Politics and Data Science - October 5th
No meeting - October 12th
Kenneth J. Kurtz, Associate Professor, Psychology at SUNY Binghamton - October 19th
No meeting, see special time Thursday of that week - October 22nd (Thursday, special time)
Bingni Brunton, Assistant Professor, Biology and Data Science at University of Washington - October 26th
Rachid Ounit, Ph.D Candidate, Computer Science, UC Riverside
Topic: Classification of metagenomic sequences: how to make it faster and more accurate - November 2nd
Dan Cervone, Data Science Fellow, Center for Data Science