Current Programs (2018-2019)

Program on Statistical, Mathematical, and Computational Methods for Precision Medicine (PMED)

Program Dates: August 1, 2018 – May 31, 2019

Essential to precision medicine are quantitative methods for translating heterogeneous data sources into actionable information to guide treatment decisions. Mathematical, statistical, and computational scientists have favored different approaches to this challenge. This SAMSI program will facilitate this critical interdisciplinary exchange by bringing together leading mathematical, statistical, computational, and health sciences researchers to pursue innovative, data-driven methodology for precision medicine.

Model Uncertainty: Mathematical and Statistical (MUMS)

Program Dates: August 1, 2018 – May 31, 2019

The primary goal of this SAMSI program brings together researchers from the UQ and MU communities to attack a variety of common goals. In addition, the MUMS program will also engage a myriad of disciplines and a diverse set of applications.

SAMSI Information Update

** For those who have applied for the 2019-2020 postdoctoral fellowship position, SAMSI would like to provide an update: Thank you all for applying to be SAMSI postdoctoral fellows. The quality of the pool was extremely strong. We have now accepted people
into all six positions and the search is now closed. For inquiries, please email: communications@samsi.info. **

Upcoming Programs (2019-20)

Year-Long Program
1) Games, Decisions, Risk and Reliability (GDRR)

  • GDRR: This program will include game theory and adversarial risk analysis topics, relate these to decision theory, and also apply decision theory to risk analysis. An exciting aspect of the program will be to address non-standard utility functions that take account of the cost of memory, computation, and human effort to set up the analysis—these considerations are directly relevant to issues that arise in machine learning and data science. GDRR is the only year-long program in 2019-2020.

Semester-Long Programs
2) Deep Learning (DL)

  • DL: DL will be presented in the fall semester of 2019. The program will focus on statistical strategies for improving machine learning. There is vast interest in automated methods for complex data analysis. However, there is a lack of consideration of: (1) interpretability; (2) uncertainty quantification; (3) applications with limited training data; and (4) selection bias. Statistical methods can achieve (1)-(4) through a change in focus.

3) Causal Inference (CI)

  • CI: CI will be presented in the spring semester of 2020. Medical and health applications will be a significant theme, but other applications will be considered. Much of the new work in causal inference entails modern machine learning tools, and this perspective will be important to the program.

SAMSI Video

** Click below for MUMS Opening Workshop: Day 1 Lectures **

Upcoming Calendar

  • SAMSI Postdoctoral Fellow Seminar Fall Series: Special Guest Lecture

    March 20, 2019 @ 1:15 pm - 2:15 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Discussion Series: Controversial Topics in Precision Medicine and Machine Learning

    March 20, 2019 @ 2:30 pm - 3:30 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • PMED Spring Course

    March 20, 2019 @ 4:30 pm - 7:00 pm

     

  • SAMSI Co-Sponsored Event - MUMS: Coupling Uncertain Geophysical Hazards Workshop

    March 24, 2019 - March 26, 2019 @  James B. Hunt Jr. Library, 1070 Partners Way, Raleigh, NC 27606, USA

     

  • SAMSI Postdoctoral Fellow Seminar Spring Series

    March 27, 2019 @ 1:15 pm - 2:15 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • PMED Spring Course

    March 27, 2019 @ 4:30 pm - 7:00 pm

     

  • SAMSI Postdoctoral Fellow Seminar Spring Series

    April 10, 2019 @ 1:15 pm - 2:15 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Discussion Series: Controversial Topics in Precision Medicine and Machine Learning

    April 10, 2019 @ 2:30 pm - 3:30 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • PMED Spring Course

    April 10, 2019 @ 4:30 pm - 7:00 pm

     

  • SAMSI Postdoctoral Fellow Seminar Spring Series

    April 17, 2019 @ 1:15 pm - 2:15 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • PMED Spring Course

    April 17, 2019 @ 4:30 pm - 7:00 pm

     

  • SAMSI Postdoctoral Fellow Seminar Spring Series

    April 24, 2019 @ 1:15 pm - 2:15 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • PMED Spring Course

    April 24, 2019 @ 4:30 pm - 7:00 pm

     

  • MUMS: Bayesian, Fiducial, and Frequentist (BFF) Conferences

    April 28, 2019 - May 1, 2019 @  Gross Hall, Towerview Rd, Durham, NC 27710, USA

     

  • MUMS Transition Workshop and SPUQ

    May 14, 2019 - May 17, 2019 @  Department of Computer Science, UNC Chapel Hill, 201 S Columbia St, Chapel Hill, NC 27599, USA

     

  • Undegraduate Modeling Workshop

    May 28, 2019 - June 2, 2019 @  The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Program on Games, Decisions, Risk and Reliability Planning Meeting

    May 29, 2019 - May 31, 2019 @ 

     

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  • Undegraduate Modeling Workshop

    May 28, 2019 - June 2, 2019 @  The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Undegraduate Modeling Workshop

    May 28, 2019 - June 2, 2019 @  The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Industrial Math/Stat Modeling Workshop for Graduate Students

    July 14, 2019 - July 24, 2019 @  SAS Hall, 2311 Stinson Dr, Raleigh, NC 27607, USA

     

  • Program on Games, Decisions, Risk and Reliability Opening Workshop

    August 5, 2019 - August 9, 2019 @  SAS Hall, 2311 Stinson Dr, Raleigh, NC 27607, USA

     

  • 2019 Fall Semester: Program on Deep Learning Opening Workshop

    August 12, 2019 - August 16, 2019 @  Gross Hall, Towerview Rd, Durham, NC 27710, USA

     

  • Deep Learning Fall Course

    August 26, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    September 2, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    September 9, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    September 16, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    September 23, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    September 30, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    October 7, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    October 14, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    October 21, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    October 28, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    November 4, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    November 11, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    November 18, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • Deep Learning Fall Course

    December 2, 2019 @ 4:30 pm - 7:00 pm The Statistical and Applied Mathematical Sciences Institute, 4501 Research Commons 79 T.W. Alexander Drive #300, Durham, NC 27709, USA

     

  • 2020 Spring Semester: Program on Causal Inference

    December 8, 2019 - December 10, 2019 @ 

     

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Proposing New Research Programs at SAMSI

The Statistical and Applied Mathematical Sciences Institute (SAMSI) invites proposals for year-long research programs, workshops and shorter summer programs.

Participation in Workshops

SAMSI organizes numerous workshops, scientific and educational. Application forms can be found on the pages of the individual workshops.