IACS Seminars

IACS Seminar Series

2019 Sep 20

Bayesian Machine Learning Models for Understanding Microbiome Dynamics | Georg Gerber, HMS

1:30pm to 2:30pm

Location: 

Harvard University, Maxwell Dworkin G115, 33 Oxford Street, Cambridge MA

IACS seminars are free and open to the public; no registration required.  Lunch will not be provided.

ABSTRACT: The human microbiome is highly dynamic on multiple timescales, changing dramatically during development of the gut in childhood, with diet, or due to medical interventions. In this talk, Dr. Gerber will present several Bayesian machine learning methods developed for gaining insight into microbiome dynamics. The first, MC-TIMME (Microbial Counts Trajectories Infinite Mixture Model Engine), is a non-parametric Bayesian model for...

Read more about Bayesian Machine Learning Models for Understanding Microbiome Dynamics | Georg Gerber, HMS
2019 Oct 04

Multimodal Mapping of Brain Activity | Jia Liu, Harvard SEAS

1:30pm to 2:30pm

Location: 

Harvard University, Maxwell Dworkin G115, 33 Oxford Street, Cambridge MA

IACS seminars are free and open to the public; no registration required.  Lunch will not be provided.

ABSTRACT: Real-time recording of brain-wide cellular activities with single-cell and single-spike spatiotemporal resolution, and cell-type specificity is important to understand brain functions and malfunctions, which requires an in situ multimodal mapping capability at single-cell resolution. In this talk, Professor Liu will, first, introduce his group's...

Read more about Multimodal Mapping of Brain Activity | Jia Liu, Harvard SEAS
2019 Oct 18

On the Detection of Malware on Virtual Assistants Based on Behavioral Anomalies | Spiros Mancoridis, Drexel University

1:30pm to 2:30pm

Location: 

Harvard University, Maxwell Dworkin G115, 33 Oxford Street, Cambridge MA

IACS seminars are free and open to the public; no registration required.  Lunch will not be provided.

ABSTRACT: Dr. Spiros Mancoridis's work explores some of the security concerns pertaining to running software similar to Amazon Alexa home assistant on IoT-like platforms. Researchers implemented a behavioral-based malware detector and compared the effectiveness of different system attributes that are used in detecting malware, i.e., system calls, network traffic, and the integration of system call and network traffic features. Given the...

Read more about On the Detection of Malware on Virtual Assistants Based on Behavioral Anomalies | Spiros Mancoridis, Drexel University
2019 Nov 01

Investigating Wall-Bounded Turbulence in Direct Numerical Simulations | Robert Moser, University of Texas

1:30pm to 2:30pm

Location: 

Harvard University, Maxwell Dworkin G115, 33 Oxford Street, Cambridge MA

IACS seminars are free and open to the public; no registration required.  Lunch will not be provided.

ABSTRACT: Wall-bounded turbulence has been of great concern at least since it's description as a fluid dynamic...

Read more about Investigating Wall-Bounded Turbulence in Direct Numerical Simulations | Robert Moser, University of Texas
2019 Nov 14

Data Science Ecosystems with AI to Improve Social Research

12:00pm to 1:30pm

Location: 

Harvard University, CGIS South S020, 1730 Cambridge St., Cambridge, MA 02138

IACS seminars are free and open to the public; no registration required.  Lunch will not be provided.

ABSTRACT: More and more organizations are embracing data science, but the success ratios of data science projects have been low - at the 30% level for years per surveys conducted by Gartner and others. To attack this problem and help mitigating risks of other associated issues such as the high turnover ratio of data scientists, an ecosystem approach with AI is emerging. In this talk, Dr. Alex Liu as one of the pioneers and a lead...

Read more about Data Science Ecosystems with AI to Improve Social Research
2020 Feb 21

Hardware and Software Co-design: Preparing and Optimizing Scientific Applications for Exascale Computing | Nicholas Malaya, Advanced Micro Devices

1:30pm to 2:30pm

Location: 

Harvard University, TBA

IACS seminars are free and open to the public; no registration is required.  Lunch will not be provided.

ABSTRACT: Will be posted shortly.

BIO: Nicholas Malaya is a research scientist at Advanced Micro Devices (AMD) with an emphasis in software development, algorithms, and high performance computing. He is AMD's technical lead for the Frontier Center of Excellence, where he works closely with Oak Ridge National Laboratory and Cray to prepare scientific applications for deployment on what is expected to be the...

Read more about Hardware and Software Co-design: Preparing and Optimizing Scientific Applications for Exascale Computing | Nicholas Malaya, Advanced Micro Devices
2020 Feb 28

IACS Seminar | Ellie Pavlick, Brown University

1:30pm to 2:30pm

Location: 

Harvard University, TBA

IACS seminars are free and open to the public; no registration is required. Lunch will not be provided.

ABSTRACT Will be posted shortly.

BIO: Ellie Pavlick is an Assistant Professor of Computer Science at Brown University, and an academic partner with Google AI. Her research interests include building better computational models of natural language semantics and pragmatics: how does language work, and how can we get computers to...

Read more about IACS Seminar | Ellie Pavlick, Brown University
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