[Female-math-faculty] [Wim-female-grads] WiM Winter Colloquium 2022: Statistical Learning of Noisy Data, Thursday, Feb 17, 2022 at 4:00 PM - 5:00 PM EST

[Ghazal Geshnizjani]

Reminder for our women in math event next week.

*Also Happy International Day of Women and Girls in Science **everyone! *


On Thu, Feb 3, 2022 at 11:48 AM Ghazal Geshnizjani <
ggeshnizjani at perimeterinstitute.ca> wrote:

> *Women in Mathematics Winter Colloquium 2022 *
>
> *Title: Statistical Learning of Noisy Data*
> Speaker: Prof. Grace Y. Yi, University of Western Ontario
>
> Event Details:
> *Thursday, Feb 17, 2022 at 4:00 PM  - 5:00 PM EST*
> 45 Minute talk followed by Q&A session with the speaker (Virtual event)
> Students, faculty and all members of the faculty of mathematics are
> welcome to attend.
> Register today to attend the WiM Colloquium: * RSVP
> <https://ticketfi.com/event/4437/wim-winter-colloquium-2022>*
>
> *Abstract: *Thanks to the advancement of modern technology in acquiring
> data, massive data with diverse features and big volumes are becoming more
> accessible than ever. The impact of big data is significant. While the
> abundant volume of data presents great opportunities for researchers to
> extract useful information for new knowledge gain and sensible
> decision-making, big data presents great challenges. A very important yet
> sometimes overlooked issue is the quality and provenance of the data. Big
> data are not automatically useful; big data are often raw and involve
> considerable noise. Typically, the challenges presented by noisy data with
> measurement error, missing observations and high dimensionality are
> particularly intriguing. Noisy data with these features arise ubiquitously
> from various fields, including health sciences, epidemiological studies,
> environmental studies, survey research, economics, and so on. In this talk,
> I will discuss some issues induced by noisy data and how they may cause
> complex statistical inferential procedures.
>
> *Biography: *Grace Y. Yi is a professor at the Department of Statistical
> and Actuarial Sciences and the Department of Computer Science at the
> University of Western Ontario. She currently holds a Tier I Canada Research
> Chair in Data Science. Dr. Yi's research interests focus on developing
> statistical methodology to address challenges concerning measurement error,
> causal inference, imaging data, missing data, high dimensional data,
> survival data, and longitudinal data. She authored the monograph
> “Statistical Analysis with Measurement Error or Misclassification:
> Strategy, Method and Application” (2017, Springer), and co-edited “Handbook
> of Measurement Error Models” (with Aurore Delaigle and Paul Gustafson)
> (2021, Chapman & Hall/CRC).
>
> [image: WiMLogo_Transparent.png]
>
> -----------------------------
> Ghazal Geshnizjani
> Research Associate Professor
> Women in Math Committee Chair <https://uwaterloo.ca/women-in-mathematics/>
> Department of Applied Mathematics
> <https://uwaterloo.ca/applied-mathematics/>
> Waterloo Centre for Astrophysics
> <https://uwaterloo.ca/astrophysics-centre/>
> University of Waterloo, Office: MC 6449  Email: ggeshniz at uwaterloo.ca
> Phone: 519 888 4567 X 39146
> Affiliate and Visiting Fellow,  Perimeter Institute For Theoretical
> Physics <http://pitp.ca/>
>
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