2022 Research Seminars 

  • All Research seminars will be held in Kearney Hall room 305
  • Participants must have the Zoom app and the seminar link and password. The login information will be emailed on the morning of the talk. To receive it, please subscribe to our seminar notification mailing list or contact us.

 

  • Tea and refreshments with the faculty and speaker: 3:00 pm in Statistics Conference room, Weniger 245
  • Seminar: 4:00 pm in Kearney Hall Room 305
  • Seminars are free and open to the public

 

Fall 2022 Research Seminars listed below:

10/3: Jessica (Jingyi) Li, Department of Statistics, UCLA

  • Abstract: The rapid development of genomics technologies has propelled fast advances in genomics data science. While new computational algorithms have been continuously developed to address cutting-edge biomedical questions, a critical but largely overlooked aspect is the statistical rigor. In this talk, I will introduce our recent work that aims to enhance statistical rigor by addressing three issues:
    1. large-scale feature screening (i.e., enrichment and differential analysis of high-throughput data) relying on ill-posed p-values;
    2. double-dipping (i.e., statistical inference on biasedly altered data);
    3. gaps between black-box generative models and statistical inference.

10/10: Luca Mazzucato, Department of Mathematics and Biology, University of Oregon

  • Abstract: Animal behavior exhibits a striking amount of variability in the temporal domain along at least three independent axes: hierarchical, contextual, and stochastic. First, a vast hierarchy of timescales links movements into behavioral sequences and long-term activities, from milliseconds to minutes. Second, action timing can be modulated by changes in context, of either internal (neuromodulatory, state-dependent) or external origin. Third, self-initiated actions exhibit large residual variability across repetitions, with signatures of stochastic origin. What computational principles underlie such complex temporal features? We will present the foundation of a theory of temporal variability in behavior and neural activity, based on metastable attractors observed in sensory and motor cortical areas. We will highlight the essential role played by intrinsic noise and heterogeneities in controlling the features of temporal variability.

10/17: Hao Chen, Department of Statistics, UC Davis

  • Abstract: After observing snapshots of a network, can we tell if there has been a change in dynamics?  After collecting spiking activities of thousands of neurons in the brain, how shall we extract meaningful information from the recording?  We introduce a change-point analysis framework utilizing graphs representing the similarity among observations.  This approach is non-parametric and can be applied to data when an informative similarity measure can be defined.  Analytic approximations to the significance of the test statistics are derived to make the method fast applicable to long sequences.  The method is illustrated through the analysis of the Neuropixels data.

10/24: Ali Shojaie, Department of Biostatistics, University of Washington, Seattle

  • Abstract: Recent evidence suggests that changes in biological networks, e.g., rewiring or disruption of key interactions, may be associated with development of complex diseases. These findings have motivated new research in computational and experimental biology that aim to obtain condition-specific estimates of biological networks, e.g. for normal and tumor samples, and identify differential patterns of connectivity in such networks, known as differential network analysis. In this talk, we primarily focus on testing whether two Gaussian graphical models are the same. We will first illustrate that existing inference procedures for this task may lead to misleading results. To address this shortcoming, we propose a two-step inference framework, for testing the null hypothesis that the edge sets in two networks are the same. The proposed framework is especially appropriate if the goal is to identify nodes or edges that show differential connectivity. Time permitting, we will also discuss how differential network analysis methods can be extended to non-Gaussian settings as well as settings where differences in network edges are functions of other covariates. 

10/31: Dominik Rothenhausler, Department of Statistics, Stanford University

11/7: Karthika Mohan, EECS Department, Oregon State University

11/14: Rahul Majumder, Operations Research and Statistics Group, Sloan School of Business, MIT

11/21: Vijayan Nair, Wells Fargo

11/28: Ben Brown, Department of Statistics, UC Berkeley, and Computational Biologist, Berkeley Labs

 

Winter 2021 Research Seminars listed below:

  • Research seminars are free and open to the public. 
  • Participants must have the Zoom app and the seminar link and password. The login information will be emailed on the morning of the talk. To receive it, please subscribe to our seminar notification mailing list or contact us.
Winter 2021 Seminar Speakers
Date and Time Speaker/Seminar From
Jan 4th, No Seminar - 1st day of quarter    
Jan 11th, 4 PM - 5 PM  Katherine McLaughlin, Assistant Professor Oregon State University, Statistics Dept, Corvallis, OR
Jan 18th, No Seminar - Martin Luther King  Holiday
   
Jan 25th, 4 PM - 5 PM Sharmodeep Bhattacharyya, Assistant Professor Oregon State University, Statistics Dept, Corvallis, OR
Feb 1st, 4 PM - 5 PM Jean Opsomer, Vice President & Senior Statistical Fellow Westat
Feb 8th, 4 PM - 5 PM Holly Janes, Professor of Vaccine and Infectious Diseases Fred Hutchinson Cancer Research Center
Feb 15th, 4 PM - 5 PM Kathi Ivrine, Statistician U.S. Geological Survey
Feb 22nd, 4 PM - 5 PM Teri Utlaut, Statistician Intel Corporation
Mar 1st, 4 PM - 5 PM John Williamson, Statistician Center for Disease Control and Prevention
Mar 8th - No Seminars, Dead Week    
Mar 15th - No Seminars, Dead Week    

 

Fall 2020 Research Seminars listed below:

  • Research seminars are free and open to the public. 
  • Participants must have the Zoom app and the seminar link and password. The login information will be emailed on the morning of the talk. To receive it, please subscribe to our seminar notification mailing list or contact us.
Fall 2020 Seminar Speakers
Date and Time Speaker/Seminar From
Sept 28th, 4 PM - 5 PM Orientation Oregon State University, Statistics Dept
Oct 5th, 1 PM - 2 PM  Tracy Ke, Assistant Professor Harvard University, Statistics, Dept., Cambridge, MA
Oct 12th, 1 PM - 2 PM Pixu Shi, Assistant Professor Duke University, Biostatistics and Bioinformatics, Durham, NC
Oct 19th, 4 PM - 5 PM Anru Zhang, Assistant Professor University of Wisconsin at Madison, Statistics Dept., Madison, WI
October 28th, 1 PM - 2 PM Scott Bruce, Assistant Professor George Mason University, Statistics Dept., Fairfax, VA
Nov 2nd, 4 PM - 5 PM Ali Shojaie, Professor University of Washington, Statistics Dept Seattle, WA
Nov 9th, 4 PM - 5 PM Minge Xie, Professor Rutgers University, Statistics Dept., New Brunswick, NJ
Nov 16th, 1 PM - 2 PM Hui Jiang, Associate Professor University of Michigan, Biostatistics, Ann Arbor, MI
Nov 39th, 4 PM - 5 PM Maude David, Assistant Professor Oregon State University, Department of Microbiology, Corvallis, OR

 

Fall 2019 Research seminars listed below:

  • Tea and refreshments with the faculty and speaker: 3:00 pm in Statistics Conference room, Weniger 245
  • Seminar: 4:00 pm in Weniger Room 149
  • Seminars are free and open to the public
Fall 2019 Seminar Speakers
Date Speaker/Seminar From
September 30 Orientation Statistics Department
October 7th Amy Willis, Assistant Professor University of Washington, Biostatistics Department, Seattle, Wa
October 14th Jayanth Banavar, Professor and Knight Chair of Physics University of Oregon, Physics Department, Eugene, Or
October 21st Dongseok Choi, Professor OHSU-PSU School of Public Health, Portland, Or
October 28th Lin Xihong, Professor Harvard School of Public Health, Boston, Ma
November 4th Wendy Meiring, Professor UC Santa Barbara, Department of Statistics and Applied Probability, Santa Barbara, Ca
November 11th Holiday No Seminar
November 18th Mikyoung Jun, Professor Texas A&M University, Department of Statistics, College Station, TX
November 25th Aditya Guntuboyina, Associate Professor University of California, Berkeley, Department of Statistics, Berkeley, CA
December 2nd Dead week No Seminar
December 9th Finals Week No Seminar

 

Spring 2019 Research seminars listed below:

Refreshments: 3:55 pm
Seminar: 4:00 pm
Location: Milam Hall, Room 213

These seminars are free and open to the public.

Spring term research seminar speakers
Date Speaker From
April 8th, 2019 Xinping Cui, Ph.D., Professor and Chair Department of Statistics, University of California, Riverside, California
April 15th, 2019 Ben Shaby, Ph.D. Assistant Professor Department of Statistics and the Institute for CyberScience at Penn State University, University Park, Pennsylvania
April 22nd, 2019 Saonli Basu, Ph.D., Associate Professor Division of Biostatistics at the University of Minnesota, Minneapolis, Minnesota
April 24th, 2019 (Wednesday) Location to be determined Lucas Beverlin, Ph.D. Statistician at Intel, Corp, Hillsboro, Oregon
April 29th, 2019 Cindy Yu, Ph.D., Associate Professor Department of Statistics, Center of Survey Statistics and Methodology at Iowa State University, Ames, Iowa
May 6th, 2019 Alvaro Munoz, Ph.D., Professor Department of Epidemiology and Methodology at John Hopkins Bloomberg School of Public Health, Baltimore, Maryland
May 13th, 2019 Jackie Hughes-Oliver, Ph.D. Professor Department of Statistics at North Carolina State University, Raleigh,North Carolina
May 20th, 2019 Daniel Taylor-Rodriguez, Ph.D., Assistant Professor Fariborz Maseeh Department of Mathematics and Statistics at Portland State University, Portland, Oregon

 

 

Winter 2019 Seminars listed below:

Refreshments: 3:55 pm
Seminar: 4:00 pm
Location: 1003 Kelley Engineering Center

These seminars are open to the public.

Winter Term 2019 Seminar Schedule
January 7th, 2019 Abel Rodriguez, Ph.D., Professor of Statistics and Associate Dean at Univ. of California, Santa Cruz
January 14th, 2019 Stephanie Hicks, Ph.D., Johns Hopkins University
January 21st, 2019 Martin Luther King, Jr. Day - No Seminar
January 23rd, 2019 Special seminar: Dajiang Liu, Penn State University 4:00 pm
January 28th, 2019 Ramon Durazo, Loyola Chicago University
January 29th, 2019 Special Seminar: Aluisio Pinheiro, Ph.D., University of Campinas, ** 3:00 pm
February 4th, 2019 Eduardo Cotilla-Sanchez, Ph.D. Associate Professor at Oregon State University's School of Electrical Engineering and Computer Science
February 11th, 2019 Frederick Campbell, Microsoft
February 18th, 2019 Jane-Ling Wang, University of California, Davis
February 25th, 2019 Luis Tenorio, Ph.D., Associate Professor in Applied Mathematics and Statistics at Colorado School of Mines
March 4th, 2019 Luis Leon-Novelo, Texas Health Science Center at Houston
March 11th, 2019 Dead Week - No Seminar
March 18th, 2019 Finals Week - No Seminar

 

 

Fall 2018 Seminars listed below:

Refreshments: 3:55 pm
Seminar: 4:00 pm
Location: 1003 Kelley Engineering Center

These seminars are open to the public.

 

Fall Term 2018 Seminar schedule
October 1st, 2018 Amelia McNamera, Ph.D., Assistant Professor for Department of Computer and Information Sciences at University of St. Thomas,
October 8th, 2018 Bryon Aragam, Ph.D., Research Scientist at Carnegie Mellon University
October 15th, 2018 Kathy Li, Assistant Professor of Marketing at McCombs School of Business, University of Texas at Austin
October 22nd, 2018 Kristen Gore, Ph.D., Hewlett Packard, Inc
October 26th, 2018 (Friday) Debashis Paul, Ph.D., Professor for Department of Statistics at University of California, Davis
October 29th, 2018 Naomi Altman, Ph.D., Professor for Department of Statistics at Penn State
November 5th, 2018 Andrew Bray, Ph.D., Assistant Professor of Mathematics at Reed College
November 12th, 2018 Veteran's Day Holiday-No Seminar
November 19th, 2018 To be announced
November 26th, 2018 Dead week - No seminar
December 3rd, 2018 Finals week - No seminar

 

 


 

Past Seminars:

Fall 2013 https://stat.oregonstate.edu/node/774
Winter 2014 https://stat.oregonstate.edu/node/775
Spring 2014 https://stat.oregonstate.edu/node/776
Fall 2014 https://stat.oregonstate.edu/node/777
Winter 2015 https://stat.oregonstate.edu/node/778
Spring 2015 https://stat.oregonstate.edu/node/779
Fall 2015 https://stat.oregonstate.edu/node/780
Winter 2016 https://stat.oregonstate.edu/node/781
Spring 2016 https://stat.oregonstate.edu/node/782
Fall 2016 https://stat.oregonstate.edu/node/870
Winter 2017 https://stat.oregonstate.edu/node/1031