Tag Archives: seminars

CMG_Data GSP_All Fwd: Announcement of the 2018 Conference of the Program in Quantitative Genomics: “B iobanks: Study Design and Data Analysis”

The GSP Analysis Centers co-organized the 2018 Harvard Program in Quantitative Genomics Conference on Biobanks: Study Design and Data Analysis. See https://www.hsph.harvard.edu/2018-pqg-conference/. Below is the conference announcement. The GSP investigators are welcome to attend it if interested.

Biobanks: Study Design and Data Analysis

November 1-2, 2018
Harvard Medical School Conference Center | Boston, MA
#HarvardPQG18

The impetus for the 2018 Conference of the Program in Quantitative Genomics of Harvard T.H. Chan School of Public Health comes from the proliferation of large scale biobanks worldwide. Biobanks are composed of massive genetic and genomic data, epidemiological data, Electronic Medical Records, wearable devices and imaging data. Examples of large biobanks include UK Biobank, China Kadoorie Biobank, eMERGE, Finland Biobank, Million Veteran Program, and MyCode Project of the Geisinger Health System, among others. The use of biobanks is becoming an essential and potentially revolutionary approach to biomedical research, with the capacity to improve the prevention, diagnosis, and treatment of a wide range of illnesses, and to advance personalized health. To take full advantage of the enormous opportunities presented in biobanks, there is an urgent need for discussing important quantitative issues, leveraging interdisciplinary expertise, and designing studies with increased scale and power. This conference aims at discussing several key quantitative challenges in biobank studies, including designing biobanks to meet a wide array of needs, developing strategies for improving phenotyping accuracy, harmonizing data across biobanks, and developing analytic methods for biobank data.

The conference will be centered on the following three topics:

SESSION 1: Types of Biobanks
SESSION 2: Biobank Data Analysis
SESSION 3: Phenotyping and Harmonization Across Biobanks

Keynote Speakers:
Tianxi Cai Harvard T.H. Chan School of Public Health
Gil McVean Oxford University
Catherine Sudlow UK Biobank, University of Edinburgh

Distinguished Speakers:
Zhengming Chen China Kadoorie Biobank, Oxford University
Kelly Cho Brigham and Women’s Hospital, Harvard Medical School Joshua Denny Vanderbilt University
David Ledbettter Geisinger Health System
Seunggeun Shawn Lee University of Michigan
Shawn Murphy Massachusetts General Hospital, Harvard Medical School Benjamin Neale Massachusetts General Hospital, Harvard Medical School Samuli Ripatti University of Helsinki, Institute for Molecular Medicine Finland (FIMM)
Manuel Rivas Stanford University

The conference program includes time for scientific presentations and a poster session and reception for submitted abstracts. Please visit the conference website for more details.

Registration + travel awards will be provided to support junior researchers who submit abstracts.
*Three abstracts will be selected to be presented as 10-minute platform talks

REGISTER

Submit Abstract

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Two CBB events: Jeffrey Leek, Computational Biology and Bioinformatics speaker on 5-2-18

I don’t know how many of you have come across this blog, simply statistics https://simplystatistics.org, but he is one of the main contributors, and to say, he’s expert on batch effect and meta-analysis.

https://simplystatistics.org/2018/02/08/what-do-fahrenheit-comma-separated-files-and-markdown-have-in-common/

CBB_seminar_series_May_ template.pdf

Statseminars Stat & Data Science Seminar, Speaker Carl Zimmer 4/27 @ 11am-1pm

Title: The Library of Babel: On Trying to Read My Genome

Information and Abstract:

Applied Data Science Seminar. Not long ago, information about our DNA was virtually impossible to gain. Now, thanks to the falling cost of DNA sequencing and the growing power of bioinformatics, genetic information is undergoing a Gutenberg-scale explosion of popularity. Millions of people are paying for DNA tests from companies like 23andMe and Ancestry.com, and they are getting unprecedented amounts of information about their ancestry and hereditary diseases. For my latest book, “She Has Her Mother’s Laugh,” I got my genome sequenced and enlisted scientists at Yale and elsewhere to help me interpret it. In my talk, I’ll discuss the results of that exploration–at once enlightening and baffling

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

YINS Tomorrow – 4/18 Sanjeev Arora, Toward theoretical understanding of deep learning

“Toward theoretical understanding of deep learning”

Speaker: Professor Sanjeev Arora

Princeton University & Institute for Advanced Study

Tomorrow – Wednesday, April 18, 2018, 12:00-1:00pm

Location: Yale Institute for Network Science, 17 Hillhouse Avenue, 3rd floor

Abstract: This talk will be a survey of ongoing efforts and recent results to develop better theoretical understanding of deep learning, from expressiveness to optimization to generalization theory. We will see the (limited) success that has been achieved and the open questions it leads to. (My expository articles appear at
http://www.offconvex.org (link is external))

Bio: Sanjeev Arora is Charles C. Fitzmorris Professor of Computer Science at Princeton University and Visiting Professor at the Institute for Advanced Study. He is an expert in theoretical computer science, especially theoretical ML. He has received the Packard Fellowship (1997), Simons Investigator Award (2012), Goedel Prize (2001 and 2010), ACM-Infosys Foundation Award in the Computing Sciences (now called the ACM prize) (2012), and the Fulkerson Prize in Discrete Math (2012).

Upcoming:

4/25/18: Adam Auton (23andme)

5/2/18: Andre Levchenko

Math-applied APPLIED MATH PROGRAM: Seminar & Refreshments Thursday, April 10, 2018

APPLIED MATH/ANALYSIS SEMINAR

Speaker Mauro Maggioni, John Hopkins University

Date: Tuesday, April 10, 2018

Time: 3:45p.m. Refreshments (AKW, 1st Floor Break Area)

4:00p.m. Seminar (LOM 206)

Title: “Learning and Geometry for Stochastic Dynamical Systems in high dimensions”

Abstract:

We discuss geometry-based statistical learning techniques for performing model reduction and modeling of certain classes of stochastic high-dimensional dynamical systems. We consider two complementary settings. In the first one, we are given long
trajectories of a system, e.g. from molecular dynamics, and we estimate, in a robust fashion, an effective number of degrees of freedom of the system, which may vary in the state space of then system, and a local scale where the dynamics is well-approximated by a reduced dynamics with a small number of degrees of freedom. We then use these ideas to produce an approximation to the generator of the system and obtain, via eigenfunctions of an empirical Fokker-Planck equation (constructed from data), reaction coordinates for the system that capture the large time behavior of the dynamics. We present various examples from molecular dynamics illustrating these ideas.

In the second setting we only have access to a (large number of expensive) simulators that can return short paths of the stochastic system, and introduce a statistical learning framework for estimating local approximations to the system, that can be (automatically) pieced together to form a fast global reduced model for the system, called ATLAS. ATLAS is guaranteed to be accurate (in the sense of producing stochastic paths whose distribution is close to that of paths generated by the original system) not only at small time scales, but also at large time scales, under suitable assumptions on the dynamics. We discuss applications to homogenization of rough diffusions in low and high dimensions, as well as relatively simple systems with separations of time scales, and deterministic chaotic systems in high-dimensions, that are well-approximated by stochastic
diffusion-like equations.
Mauro Maggioni 4-10 flyer.pdf

Seminar by Nobel Laureate W.E. Moerner, April 11th

Attached please find a seminar announcement for Nobel Laureate, W.E. Moerner on Wednesday, April 11, 2018.

Speaker: W.E. Moerner, Nobel Laureate

Title: “Single Molecules for 3D Super-Resolution Imaging and Single Particle Tracking in Cells: Methods and Applications:

Date: Wednesday, April 11, 2018

Time & Place: 3:30 PM, SCL 110

Host: Biophysics Training Grant Students

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