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UID:857@fds.yale.edu
DTSTART;TZID=America/New_York:20250404T120000
DTEND;TZID=America/New_York:20250404T130000
DTSTAMP:20250916T142149Z
URL:https://fds.yale.edu/events/fds-womens-colloquium-tal-sarig-meta/
SUMMARY:FDS Women's Career Development Colloquium: Tal Sarig (Meta)
DESCRIPTION:\nPlease join us for the FDS Women’s Career Development Collo
 quium Series\, proudly supported by the&nbsp\;Department of Statistics and
  Data Science (S&amp\;DS)&nbsp\;and the&nbsp\;Yale Institute for Foundatio
 ns of Data Science (FDS). This series will feature inspiring talks from fe
 male Yale alumni and leading professionals in statistics and related field
 s who will share their career journeys and valuable insights. We encourage
  active participation—ask questions\, engage in discussions\, and take f
 ull advantage of this enriching opportunity. The series is dedicated to su
 pporting women in statistics and related fields at Yale\, providing a plat
 form where female professionals can share their experiences\, discuss chal
 lenges\, and offer guidance to our students.\n\n\n\nSpeaker Bio: Tal Sarig
  is a Research Scientist at the Central Applied Science team at Meta\, whe
 re she focuses on applied machine learning\, delayed labels\, and concept 
 drift. Her work also includes research and software&nbsp\;developments in 
 Survey Statistics and Survey Weighting. Prior to joining Meta\, Tal earned
  her PhD in Statistics and Data Science from Yale University in 2020\, und
 er the supervision of Prof. Harry Zhou. She also holds an MSc in Statistic
 s and a BSc in Mathematics and Psychology\, both from Tel Aviv University.
 \n\n\n\nZoom link password: 119014\n\n\n\nPlease sign up asap to reserve y
 our spot:&nbsp\;https://docs.google.com/forms/d/e/1FAIpQLSfWWZfZ6ZQcHy3bAZ
 jeL18_ELsHIZrGdYWCujghTrLHmeRBMw/viewform?usp=dialog\n\n\n\nOrganized by&n
 bsp\;Ruixiao Wang\, Ph.D. Student in Statistics &amp\; Data Science\, Yale
  University\n\n\n\nWe are currently looking for women speakers for next se
 mester\, preferably with a PhD\, in statistics\, data science\, or other q
 uantitative fields\, who would love to share their experience and career a
 dvice from academia\, industry\, government\, nonprofit sectors\, entrepre
 neurship/startups\, consulting\, etc. If you have a strong candidate in mi
 nd\, please contact Ruixiao Wang (ruixiao.wang@yale.edu).\n\n\n\nConnect w
 ith us on Slack:&nbsp\;https://join.slack.com/t/women-in-stemgroup/shared_
 invite/zt-2v1vko9x2-IVoeMIKK6Qv~nluiThkqUw\n
CATEGORIES:FDS Events,Student Led Seminar
LOCATION:https://yale.zoom.us/j/92512980655?pwd=DMB15OQCh0tM6L4CawBaEZPpCxo
 ma0.1
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