Past Events
Check out our most recent Distinguished Speaker Series.
Please see below a list of Hariri Institute event recordings.
Artificial Intelligence
February 28, 2022 AIR Weekly Seminar: Subspace Regularizers for Few-Shot Class Incremental Learning with Afra Feyza Akyürek.
February 14, 2022 AIR Weekly Seminar: Towards Practical Mean Bounds for Small Samples with My Phan.
February 11, 2022 Advancing Sustainability with AI Distinguished Speaker Series Panel Event.
February 9, 2022 Advancing Sustainability with AI Distinguished Speaker Series with Francesco Fuso Nerini.
February 7, 2022 Advancing Sustainability with AI Distinguished Speaker Series with Aisha Walcott-Bryant.
February 4, 2022 Advancing Sustainability with AI Distinguished Speaker Series with Claire Monteleoni.
December 6, 2021 AIR Distinguished Speaker Csaba Szepesvari: Using Function Approximation to Solve Large Scale Planning Problems in MDPs.
December 3, 2021 CISE Seminar & AIR Distinguished Speaker Rogerio Schmidt Feris: Dynamic Neural Networks for Efficient Multimodal Video Understanding.
November 1, 2021 AIR Distinguished Speaker Samory Kpotufe: Some Recent Insights on Transfer and Multitask Learning.
October 18, 2021 AIR Weekly Seminar: X-World: Accessibility, Vision, and Autonomy Meet.
October 18, 2021 AI in Healthcare Symposium: Learning Health Systems that Leverage AI.
October 18, 2021 AI in Healthcare Symposium: AI in Healthcare, Algorithmic & Data Bias, and Mitigation Strategies.
October 18, 2021 AI in Healthcare Symposium: Welcome and Opening Remarks and Panel Discussion: The Challenges, Risks, and Opportunities of AI in Healthcare.
April 12, 2021 AIR Distinguished Speaker, Kristen Grauman: Sights, Sounds, and Space: Audio-visual Learning in 3D Environments.
April 5, 2021 AIR Seminar, Ahmed Taha & Kuniaki Saito: Knowledge Evolution in Neural Networks & OVANet: One-vs-All Classifier Network for Universal Domain Adaptation.
March 29, 2021 AIR Seminar, Tao Du: Differentiable Simulation Methods for Robotic Agent Design.
March 15, 2021 AIR Seminar, Ekin Akyürek: Compositional Models for Few Shot Sequence Learning.
March 5, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with the Series Panel.
February 26, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with Meredith Whittaker.
February 22, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with Timnit Gebru.
February 12, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with Sabelo Mhlambi.
February 10, 2021 BU Sec Seminar, Tamer Mour: Correlation Intractability vs. One-wayness.
February 8, 2021 AIR Seminar, Yin Li: Activity Recognition from a First Person Perspective.
September 21, 2020 AIR Distinguished Speaker Series: Understanding and Anticipating Activities with Juergen Gall.
September 14, 2020 AIR Seminar, David Bau: Rewriting a Deep Generative Model.
September 9, 2020 BU Sec Seminar, Mingyu Liang: Differential Private Mixing for Cryptocurrency.
November 25, 2019 AIR Seminar, Gina-Anne Levow: Leveraging High-Resource Languages to Improve Low-Resource Language Processing.
April 23, 2019 Women in Data Science, Polina Binder: Making Roads Safer by Making Drivers Better.
February 11, 2019 AIR Seminar, Pietro Morerio and Vittorio Murino: Previous Work on Generalized Distillation Framework.
October 17, 2018 Red Hat Colloquium Series, Andrea Matwyshyn: The Internet of Bodies (And the “Intelligent” Society).
September 5, 2018 Cyber Alliance Seminar, Yaniv Benhamou: Self-Regulation and Certification: An Appropriate Tool to Regulate the Platforms and AI-Industries.
April 18, 2018 AIR Seminar, Trevor Darrell: Towards Adaptive, Curious, and Explainable Artificial Intelligence.
October 23, 2017 Cyber Alliance Brown Bag Lunch Series, Michael Meurer: Training Data and Innovation in Markets for AI.
February 14, 2022 AIR Weekly Seminar: Towards Practical Mean Bounds for Small Samples with My Phan.
February 11, 2022 Advancing Sustainability with AI Distinguished Speaker Series Panel Event.
February 9, 2022 Advancing Sustainability with AI Distinguished Speaker Series with Francesco Fuso Nerini.
February 7, 2022 Advancing Sustainability with AI Distinguished Speaker Series with Aisha Walcott-Bryant.
February 4, 2022 Advancing Sustainability with AI Distinguished Speaker Series with Claire Monteleoni.
December 6, 2021 AIR Distinguished Speaker Csaba Szepesvari: Using Function Approximation to Solve Large Scale Planning Problems in MDPs.
December 3, 2021 CISE Seminar & AIR Distinguished Speaker Rogerio Schmidt Feris: Dynamic Neural Networks for Efficient Multimodal Video Understanding.
November 1, 2021 AIR Distinguished Speaker Samory Kpotufe: Some Recent Insights on Transfer and Multitask Learning.
October 18, 2021 AIR Weekly Seminar: X-World: Accessibility, Vision, and Autonomy Meet.
October 18, 2021 AI in Healthcare Symposium: Learning Health Systems that Leverage AI.
October 18, 2021 AI in Healthcare Symposium: AI in Healthcare, Algorithmic & Data Bias, and Mitigation Strategies.
October 18, 2021 AI in Healthcare Symposium: Welcome and Opening Remarks and Panel Discussion: The Challenges, Risks, and Opportunities of AI in Healthcare.
April 12, 2021 AIR Distinguished Speaker, Kristen Grauman: Sights, Sounds, and Space: Audio-visual Learning in 3D Environments.
April 5, 2021 AIR Seminar, Ahmed Taha & Kuniaki Saito: Knowledge Evolution in Neural Networks & OVANet: One-vs-All Classifier Network for Universal Domain Adaptation.
March 29, 2021 AIR Seminar, Tao Du: Differentiable Simulation Methods for Robotic Agent Design.
March 15, 2021 AIR Seminar, Ekin Akyürek: Compositional Models for Few Shot Sequence Learning.
March 5, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with the Series Panel.
February 26, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with Meredith Whittaker.
February 22, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with Timnit Gebru.
February 12, 2021 Distinguished Speaker Series: AI & Inequalities — Creating Change with Sabelo Mhlambi.
February 10, 2021 BU Sec Seminar, Tamer Mour: Correlation Intractability vs. One-wayness.
February 8, 2021 AIR Seminar, Yin Li: Activity Recognition from a First Person Perspective.
September 21, 2020 AIR Distinguished Speaker Series: Understanding and Anticipating Activities with Juergen Gall.
September 14, 2020 AIR Seminar, David Bau: Rewriting a Deep Generative Model.
September 9, 2020 BU Sec Seminar, Mingyu Liang: Differential Private Mixing for Cryptocurrency.
November 25, 2019 AIR Seminar, Gina-Anne Levow: Leveraging High-Resource Languages to Improve Low-Resource Language Processing.
April 23, 2019 Women in Data Science, Polina Binder: Making Roads Safer by Making Drivers Better.
February 11, 2019 AIR Seminar, Pietro Morerio and Vittorio Murino: Previous Work on Generalized Distillation Framework.
October 17, 2018 Red Hat Colloquium Series, Andrea Matwyshyn: The Internet of Bodies (And the “Intelligent” Society).
September 5, 2018 Cyber Alliance Seminar, Yaniv Benhamou: Self-Regulation and Certification: An Appropriate Tool to Regulate the Platforms and AI-Industries.
April 18, 2018 AIR Seminar, Trevor Darrell: Towards Adaptive, Curious, and Explainable Artificial Intelligence.
October 23, 2017 Cyber Alliance Brown Bag Lunch Series, Michael Meurer: Training Data and Innovation in Markets for AI.
BU Data Science (BUDS) Day
2020 BUDS Day ~ February 5, 2020
Briefing and Q&A on the Faculty of Computing & Data Sciences.
Opening Remarks
Session 1: “Data-driven Modeling of Harmful Online Behavior”
Session 2: “Industry-enabled Data Science Research”
Provost Remarks
BU Spark! Student-Driven Data Science @ BU
Session 3: “Improving Health Outcomes with Data”
Closing Remarks
2019 BUDS Day ~ February 6, 2019
Panel 1: Impactful Collaborations
Panel 2: Differentiating Capacities
Faculty Lightning Talks
Panel 3: Research Enablers
Panel 4: Invisible Foundations
2016 BUDS Day ~ January 26, 2018
Lightening Session and Q&A Panel: Networks
Lightening Session and Q&A Panel: Health, Markets, & Policy
Keynote Address: Jennifer Listgarten
Keynote Address: Professor Alessandro Vespignani
Cloud Computing
September 30, 2020 “Come Together, Right Now: Convergence & Collaboration Around Cloud Computing, Data Security, and AI”.
October 17, 2018 Red Hat Colloquium Series, Rodrigo Fonseca: Networking as a First-Class Cloud Resource.
October 4, 2018 Red Hat Colloquium Series, Mark Little: The Future of Enterprise Application Development in the Cloud.
April 6, 2017 Red Hat Colloquium Series, Ignacio Llorente: An Introduction to OpenNebula.
Computational Science/Modeling
Jun 6, 2022 How systems thinking and simulation modeling can reshape public health: A Simulation Modeling for Population Health Focused Research Program Symposium.
April 28, 2022 Integrating Innovations in Computing Systems & Applied Mobile Health: A Joint Focused Research Program and Mobile & Electronic Health Affinity Research Collaborative Symposium.
March 24, 2022 Did You Know You Could…? Series: Did you know you could use brain computer interfaces to restore speech? with Frank Guenther .
March 15, 2022 CCS Lecture, Wonmuk Hwang: Using computer simulation and analysis to learn about biological systems .
March 3, 2022 Did You Know You Could…? Series: Did you know you could estimate the effect of car ownership on electoral participation? with Maxwell Palmer.
February 28, 2022 Did You Know You Could…? Series: Did you know you could train neural networks to model tasks by animals? with Marc Howard.
February 14, 2022 Did You Know You Could…? Series: Did you know it’s the statistical principles (not just the calculations!) that matter? with Eric Kolacyzk.
October 28, 2020 BU Sec Seminar, Hemanta K. Maji: Computational Hardness of Optimal Fair Computation.
September 16, 2020 AIR Seminar, Jiayu Zhang: Succinct Blind Quantum Computation using a Random Oracle.
January 22, 2020 Wednesday@Hariri, James Feigenbaum: New Data from Old Sources: A Machine Learning Approach to Census Record Linking.
December 9, 2019 Wednesday@Hariri, Charalampos (Babis) Tsourakakis: Multifaceted Large-Scale Graph Mining.
November 6, 2019 Wednesday@Hariri, Joshua Campbell: Discrete Bayesian Modeling for Biological Systems Using Cellular Latent Dirichlet Allocation (Celda).
April 23, 2019 AIR Seminar, Karrie Karahalios: Empowering Algorithms and Algorithm Disillusionment.
April 19, 2019 Women in Data Science, Miriam Huntley: Data Science in Genome: Challenges and Opportunities.
April 19, 2019 Women in Data Science, Margaret McKenna: Scaling Data Science with Data Engineering.
March 28, 2019 Wednesday@Hariri, Christoph Nolte: PLACES: Measuring the Effects of Private Land Conservation.
November 14, 2018 Red Hat Colloquium Series, Ulrich Drepper: Software-Configured Compute Environments.
November 8, 2018 Red Hat Colloquium Series, Kate Keahey: Chameleon: A New Ecosystem for Computer Science.
May 14, 2018 DSI Colloquium, Nisheeth Vishnoi: Optimization, Sampling, and Physics.
April 30, 2018 AIR Seminar, Aaron Hertzmann: Algorithms for Artistic Stylization and Rendering.
April 19, 2018 Red Hat Colloquium Series, Mothy Roscoe: Enzian: a Research Computer.
February 13, 2018 DSI Distinguished Lecture, Nisheeth Vishnoi: Algorithms, Nature and Society.
April 28, 2022 Integrating Innovations in Computing Systems & Applied Mobile Health: A Joint Focused Research Program and Mobile & Electronic Health Affinity Research Collaborative Symposium.
March 24, 2022 Did You Know You Could…? Series: Did you know you could use brain computer interfaces to restore speech? with Frank Guenther .
March 15, 2022 CCS Lecture, Wonmuk Hwang: Using computer simulation and analysis to learn about biological systems .
March 3, 2022 Did You Know You Could…? Series: Did you know you could estimate the effect of car ownership on electoral participation? with Maxwell Palmer.
February 28, 2022 Did You Know You Could…? Series: Did you know you could train neural networks to model tasks by animals? with Marc Howard.
February 14, 2022 Did You Know You Could…? Series: Did you know it’s the statistical principles (not just the calculations!) that matter? with Eric Kolacyzk.
October 28, 2020 BU Sec Seminar, Hemanta K. Maji: Computational Hardness of Optimal Fair Computation.
September 16, 2020 AIR Seminar, Jiayu Zhang: Succinct Blind Quantum Computation using a Random Oracle.
January 22, 2020 Wednesday@Hariri, James Feigenbaum: New Data from Old Sources: A Machine Learning Approach to Census Record Linking.
December 9, 2019 Wednesday@Hariri, Charalampos (Babis) Tsourakakis: Multifaceted Large-Scale Graph Mining.
November 6, 2019 Wednesday@Hariri, Joshua Campbell: Discrete Bayesian Modeling for Biological Systems Using Cellular Latent Dirichlet Allocation (Celda).
April 23, 2019 AIR Seminar, Karrie Karahalios: Empowering Algorithms and Algorithm Disillusionment.
April 19, 2019 Women in Data Science, Miriam Huntley: Data Science in Genome: Challenges and Opportunities.
April 19, 2019 Women in Data Science, Margaret McKenna: Scaling Data Science with Data Engineering.
March 28, 2019 Wednesday@Hariri, Christoph Nolte: PLACES: Measuring the Effects of Private Land Conservation.
November 14, 2018 Red Hat Colloquium Series, Ulrich Drepper: Software-Configured Compute Environments.
November 8, 2018 Red Hat Colloquium Series, Kate Keahey: Chameleon: A New Ecosystem for Computer Science.
May 14, 2018 DSI Colloquium, Nisheeth Vishnoi: Optimization, Sampling, and Physics.
April 30, 2018 AIR Seminar, Aaron Hertzmann: Algorithms for Artistic Stylization and Rendering.
April 19, 2018 Red Hat Colloquium Series, Mothy Roscoe: Enzian: a Research Computer.
February 13, 2018 DSI Distinguished Lecture, Nisheeth Vishnoi: Algorithms, Nature and Society.
COVID-19
October 18, 2021 AI in Healthcare Symposium: COVID-19 Misinformation.
December 7, 2020 “Adjusting Non-COVID-19 Clinical Trials in the era of the Pandemic: Statistical Design and Analysis”.
September 29, 2020 “Fighting COVID with Data and Computing, Alumni Weekend Presentation”.
December 7, 2020 “Adjusting Non-COVID-19 Clinical Trials in the era of the Pandemic: Statistical Design and Analysis”.
September 29, 2020 “Fighting COVID with Data and Computing, Alumni Weekend Presentation”.
Cybersecurity & Privacy
April 6, 2022 Cyber Alliance Seminar, Ran Canetti: Legal Verification Dilemmas and Zero-Knowledge Proofs
January 19, 2022 Cyber Alliance Seminar, Salome Viljoen: Data relations and the digital economy
March 24, 2021 BU Sec Seminar, Geoffroy Couteau: Correlated Pseudorandom Functions from Variable-Density LPN
March 10, 2021 BU Sec Seminar, Steve Lu: Function Secret Sharing for PSI-CA: With Applications to Private Contact Tracing.
February 17, 2021 BU Sec Seminar, Nicholas Carlini: How private is machine learning?.
January 27, 2021 BU Sec Seminar, Bar Alon: On the Power of an Honest Majority in Three-Party Computation Without Broadcast.
December 9, 2020 BU Sec Seminar, Prashant Vasudevan: Cryptography from Information Loss.
December 2, 2020 “Is Tricking a Robot Hacking?” by Ryan Calo.
October 14, 2020 BU Sec Seminar, Daniel Wichs: Incompressible Encodings.
October 7, 2020 BU Sec Seminar, Sarah Scheffler: Protecting Cryptography from Self-Incrimination (Part 2).
September 30, 2020 BU Sec Seminar, Sarah Scheffler: Protecting Cryptography from Self-Incrimination.
September 9, 2020 Cyber Alliance Seminar, Garrett Johnson: Privacy & Market Concentration: Intended & Unintended Consequences of the GDPR.
June 15-19, 2020 “Information-Theoretic Cryptography 2020”.
February 18, 2020 Cyber Alliance Seminar, Sam Weinstein: Blockchain Neutrality.
January 16, 2019 Cyber Alliance Seminar, Jeff Kosseff: The Twenty-Six Words That Created the Internet.
November 28, 2018 Cyber Alliance Seminar, Danny Weitzner: Computer Science and the Law: What the fields need from each other in the Information Age.
October 12, 2019 AIR Seminar, Adam Smith: Performance isn’t Enough: Privacy and Fairness.
September 5, 2018 Red Hat Colloquium Series, Daniel S. Berger: RobinHood: Tail Latency-Aware Caching in Large Web Services.
July 30, 2018 Cyber Alliance Seminar, Danielle Citron: Privacy, Speech, and Content Moderation.
April 20, 2018 DSI Colloquium, Ashwin Machanavajjala: Data Science with Provable Privacy Guarantees.
November 15, 2017 Cyber Alliance Seminar, Ellen Goodman: Algorithmic Transparency for the Smart City .
November 8, 2017 Cyber Alliance Seminar, Timothy Edgar: Beyond Snowden: Privacy, Mass Surveillance and the Struggle to Reform the NSA.
October 11, 2017 Cyber Alliance Seminar, Andrew Ferguson: The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement .
January 19, 2022 Cyber Alliance Seminar, Salome Viljoen: Data relations and the digital economy
March 24, 2021 BU Sec Seminar, Geoffroy Couteau: Correlated Pseudorandom Functions from Variable-Density LPN
March 10, 2021 BU Sec Seminar, Steve Lu: Function Secret Sharing for PSI-CA: With Applications to Private Contact Tracing.
February 17, 2021 BU Sec Seminar, Nicholas Carlini: How private is machine learning?.
January 27, 2021 BU Sec Seminar, Bar Alon: On the Power of an Honest Majority in Three-Party Computation Without Broadcast.
December 9, 2020 BU Sec Seminar, Prashant Vasudevan: Cryptography from Information Loss.
December 2, 2020 “Is Tricking a Robot Hacking?” by Ryan Calo.
October 14, 2020 BU Sec Seminar, Daniel Wichs: Incompressible Encodings.
October 7, 2020 BU Sec Seminar, Sarah Scheffler: Protecting Cryptography from Self-Incrimination (Part 2).
September 30, 2020 BU Sec Seminar, Sarah Scheffler: Protecting Cryptography from Self-Incrimination.
September 9, 2020 Cyber Alliance Seminar, Garrett Johnson: Privacy & Market Concentration: Intended & Unintended Consequences of the GDPR.
June 15-19, 2020 “Information-Theoretic Cryptography 2020”.
February 18, 2020 Cyber Alliance Seminar, Sam Weinstein: Blockchain Neutrality.
January 16, 2019 Cyber Alliance Seminar, Jeff Kosseff: The Twenty-Six Words That Created the Internet.
November 28, 2018 Cyber Alliance Seminar, Danny Weitzner: Computer Science and the Law: What the fields need from each other in the Information Age.
October 12, 2019 AIR Seminar, Adam Smith: Performance isn’t Enough: Privacy and Fairness.
September 5, 2018 Red Hat Colloquium Series, Daniel S. Berger: RobinHood: Tail Latency-Aware Caching in Large Web Services.
July 30, 2018 Cyber Alliance Seminar, Danielle Citron: Privacy, Speech, and Content Moderation.
April 20, 2018 DSI Colloquium, Ashwin Machanavajjala: Data Science with Provable Privacy Guarantees.
November 15, 2017 Cyber Alliance Seminar, Ellen Goodman: Algorithmic Transparency for the Smart City .
November 8, 2017 Cyber Alliance Seminar, Timothy Edgar: Beyond Snowden: Privacy, Mass Surveillance and the Struggle to Reform the NSA.
October 11, 2017 Cyber Alliance Seminar, Andrew Ferguson: The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement .
Machine Learning
June 15, 2021 FRP Symposium Advancing Chemical and Materials Science through Machine Learning: Machine Learning in Experimental Chemical and Materials Science
June 15, 2021 FRP Symposium Advancing Chemical and Materials Science through Machine Learning: Machine Learning Innovation in Support of Chemistry and Materials Science
June 15, 2021 FRP Symposium Advancing Chemical and Materials Science through Machine Learning: Machine Learning in Experimental Chemical and Materials Science
May 3, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems Panel.
April 30, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Joshua Blumenstock.
April 26, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Jacob Bortnik.
April 22, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Miguel Bessa.
April 16, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Cecilia Clementi.
October 19, 2020 AIR Distinguished Speaker Series: A New Workflow for Collaborative Machine Learning Research in Biodiversity with Serge Belongie.
September 23, 2020 BU Sec Seminar, Yilei Chen: Does Fiat-Shamir Require a Cryptographic Hash Function?”.
December 2, 2019 AIR Distinguished Speaker Series: Machine Learning: New Challenges and Connections with Maria-Florina Balcan.
August 9, 2019 Ph.D Thesis Defense, Wil Koch: “Flight Controller Synthesis via Deep Reinforcement Learning”.
April 26, 2019 Women in Data Science, Elaine Nsoesie: Applications of Machine Learning to Global Health Problems.
April 25, 2019 Wednesday@Hariri, IBM Deep Learning Workshop 1, Session 2.
April 24, 2019 Wednesday@Hariri, IBM Deep Learning Workshop 1, Session 1.
April 22, 2019 AIR Seminar, Yoram Singer: Memory-Efficient Adaptive Optimization for Large-Scale Learning.
April 19, 2019 Women in Data Science, Helena Deus: Deep Learning is Changing the World… and What You Can Do About It.
February 4, 2019 AIR Seminar, Samy Bengio: Some Empirical Observations Linking Representation and Generalization.
December 10, 2018 AIR Seminar, Cynthia Rudin: New Algorithms for Interpretable Machine Learning.
December 5, 2018 AIR Seminar, Derry Wijaya: Bilingual Lexicon Induction Using Related Language.
October 12, 2018 AIR Seminar, Brian Kulis: Overview of Recent Research on Machine Learning.
October 12, 2018 AIR Seminar, Dilip Krishnan: Large Margin Deep Networks for Classification.
October 12, 2018 AIR Seminar, Francesco Orabona: Parameter-Free Machine Learning.
October 12, 2018 AIR Seminar, Stan Sclaroff: Learning to Embed While Learning to Rank.
April 30, 2018 Cyber Alliance Seminar, Ahmed Ghappour: Modern Machine Evidence and the Criminal Adjudicative Process.
March 28, 2018 Wednesday@Hariri, J.J. Allaire: Machine Learning with TensorFlow and R.
March 1, 2018 DSI Distinguished Lecture, Francesco Orabona: Parameter-free Machine Learning through Coin Betting.
February 12, 2018 AIR Seminar, Regina Barzilay: How Can NLP Help Cure Cancer? .
October 28, 2017 Wednesday@Hariri, Stephen Terry & Sarah Bargal: Short-Term Shocks and Long-Term Investment .
June 15, 2021 FRP Symposium Advancing Chemical and Materials Science through Machine Learning: Machine Learning Innovation in Support of Chemistry and Materials Science
June 15, 2021 FRP Symposium Advancing Chemical and Materials Science through Machine Learning: Machine Learning in Experimental Chemical and Materials Science
May 3, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems Panel.
April 30, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Joshua Blumenstock.
April 26, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Jacob Bortnik.
April 22, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Miguel Bessa.
April 16, 2021 Distinguished Speaker Series: Machine Learning for Model-Rich Problems with Cecilia Clementi.
October 19, 2020 AIR Distinguished Speaker Series: A New Workflow for Collaborative Machine Learning Research in Biodiversity with Serge Belongie.
September 23, 2020 BU Sec Seminar, Yilei Chen: Does Fiat-Shamir Require a Cryptographic Hash Function?”.
December 2, 2019 AIR Distinguished Speaker Series: Machine Learning: New Challenges and Connections with Maria-Florina Balcan.
August 9, 2019 Ph.D Thesis Defense, Wil Koch: “Flight Controller Synthesis via Deep Reinforcement Learning”.
April 26, 2019 Women in Data Science, Elaine Nsoesie: Applications of Machine Learning to Global Health Problems.
April 25, 2019 Wednesday@Hariri, IBM Deep Learning Workshop 1, Session 2.
April 24, 2019 Wednesday@Hariri, IBM Deep Learning Workshop 1, Session 1.
April 22, 2019 AIR Seminar, Yoram Singer: Memory-Efficient Adaptive Optimization for Large-Scale Learning.
April 19, 2019 Women in Data Science, Helena Deus: Deep Learning is Changing the World… and What You Can Do About It.
February 4, 2019 AIR Seminar, Samy Bengio: Some Empirical Observations Linking Representation and Generalization.
December 10, 2018 AIR Seminar, Cynthia Rudin: New Algorithms for Interpretable Machine Learning.
December 5, 2018 AIR Seminar, Derry Wijaya: Bilingual Lexicon Induction Using Related Language.
October 12, 2018 AIR Seminar, Brian Kulis: Overview of Recent Research on Machine Learning.
October 12, 2018 AIR Seminar, Dilip Krishnan: Large Margin Deep Networks for Classification.
October 12, 2018 AIR Seminar, Francesco Orabona: Parameter-Free Machine Learning.
October 12, 2018 AIR Seminar, Stan Sclaroff: Learning to Embed While Learning to Rank.
April 30, 2018 Cyber Alliance Seminar, Ahmed Ghappour: Modern Machine Evidence and the Criminal Adjudicative Process.
March 28, 2018 Wednesday@Hariri, J.J. Allaire: Machine Learning with TensorFlow and R.
March 1, 2018 DSI Distinguished Lecture, Francesco Orabona: Parameter-free Machine Learning through Coin Betting.
February 12, 2018 AIR Seminar, Regina Barzilay: How Can NLP Help Cure Cancer? .
October 28, 2017 Wednesday@Hariri, Stephen Terry & Sarah Bargal: Short-Term Shocks and Long-Term Investment .
Professional Development
April 29, 2021 Red Hat Collaboratory, Sage Weil: Pause for Democracy: Leaving open source storage to help Americans vote in 2020.
March 26, 2021 Did You Know You Could…? Series: Use Social Media to Amplify Your Research by Gina Mantica.
March 4, 2021 Did You Know You Could…? Series: Use RStudio to create simple visualizations of news and social media data by Chris Wells.
February 18, 2021 Did You Know You Could…? Series: Create a better planet using smart analytics? by Suchi Gopal.
January 22, 2021 Did You Know You Could…? Series: Conduct behavioral experiments online using Gorilla by Kimberly Dahl.
December 3, 2020 “Atypical PhD Journey in Computing and Data Science Panel Discussion”.
November 19, 2020 Did You Know You Could…? Series: Use Github to organize your work and display your coding ability to would-be employers? by Katia Bulekova.
November 13, 2020 Did You Know You Could…? Series: Represent languages geometrically as clouds of points? by Derry Wijaya.
November 6, 2020 Did You Know You Could…? Series: Manage your bibliographic data and research materials with Zotero by Mahesh Karra.
April 26, 2019 Women in Data Science, Asieh Ahani: Leveraging Technical Methods to Transform Business.
April 26, 2019 Women in Data Science, Kirsten Smayda: Pear Therapeutics.
April 23, 2019 Women in Data Science, Maureen Teyssier: Building and Choosing Data Science Teams that Succeed.
April 23, 2019 Women in Data Science, Morgan Taylor: Who’s A Data Scientist Panel .
October 23, 2018 Red Hat Colloquium Series, Mike Saparov: Why Consider a Career as an SRE? .
May 4, 2018 BU Spark! Demo Day.
April 25, 2018 The Dolphin Tank with BU Spark!.
March 26, 2021 Did You Know You Could…? Series: Use Social Media to Amplify Your Research by Gina Mantica.
March 4, 2021 Did You Know You Could…? Series: Use RStudio to create simple visualizations of news and social media data by Chris Wells.
February 18, 2021 Did You Know You Could…? Series: Create a better planet using smart analytics? by Suchi Gopal.
January 22, 2021 Did You Know You Could…? Series: Conduct behavioral experiments online using Gorilla by Kimberly Dahl.
December 3, 2020 “Atypical PhD Journey in Computing and Data Science Panel Discussion”.
November 19, 2020 Did You Know You Could…? Series: Use Github to organize your work and display your coding ability to would-be employers? by Katia Bulekova.
November 13, 2020 Did You Know You Could…? Series: Represent languages geometrically as clouds of points? by Derry Wijaya.
November 6, 2020 Did You Know You Could…? Series: Manage your bibliographic data and research materials with Zotero by Mahesh Karra.
April 26, 2019 Women in Data Science, Asieh Ahani: Leveraging Technical Methods to Transform Business.
April 26, 2019 Women in Data Science, Kirsten Smayda: Pear Therapeutics.
April 23, 2019 Women in Data Science, Maureen Teyssier: Building and Choosing Data Science Teams that Succeed.
April 23, 2019 Women in Data Science, Morgan Taylor: Who’s A Data Scientist Panel .
October 23, 2018 Red Hat Colloquium Series, Mike Saparov: Why Consider a Career as an SRE? .
May 4, 2018 BU Spark! Demo Day.
April 25, 2018 The Dolphin Tank with BU Spark!.