Women in Data Science (WiDS)
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WiDS Workshop Instructors

Meet the WiDS Workshops Instructors!
Want to lead a WiDS Workshop? Apply now.
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Alexandra Cerekovic
 Recommender systems
Walmart Global Tech
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Apurva 
Sinha
time Series Forecasting
Walmart Global Tech
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Ashwini Chandrashek-haraiah
Bayesian machine learning
Walmart Global Tech
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Aviv Ben Arie
EXPLAINABLE AI


​Intuit
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Bingjie Xu​
Propensity Modeling Package
​
Google
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Cindy Orozco
Bohorquez
 Parallel Computing
Stanford University
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Debanjana
Banerjee
Bayesian machine learning
Walmart Global Tech
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Dora
Demszky
Natural language processing
Stanford University
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Emily
Miller
actionable
ethics

DrivenData
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Eileen
Martin

Arithmetic
Arrays

Virginia Tech
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Hana M.K.
Data storytelling


​Podcast Host
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Heather
​Gorr
Machine Learning
MathWorks
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Haley
Hedlin

Data analysis
​for Health


Stanford University
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Izzy
​Aguiar
Telling and Sharing Stories​
Stanford University
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Jingwen
Lu

Language
processing


Microsoft
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Julia
Ling


ml for scientific
r&d


Tidal
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Julia
Olivieri


GraphS
​

Stanford University
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Kathryn Schumacher
NEURAL NETWORKS
General Motors
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Laura
Lyman

​
Linear Algebra 
Stanford University
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Lingling Xu
PROPENSITY MODELING PACKAGE
Google
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Loren Shure
Machine Learning
​
​

MathWorks
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Louvere
Walker-Hannon
Machine Learning
​
MathWorks
Picture
Mackenzie Simper
MARKOV CHAINS

​Stanford University
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​Madeleine
Udell

Automating machine learning
Cornell University
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Margot
Gerritsen
Linear Algebra
​ 
Stanford University
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Maria
Gargiulo

Imputing Missing data
HRDAG
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Megan
Price

Imputing Missing data
HRDAG
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Pariza Kamboj
Data pre-processing & data wrangling
Sarvajanik College of Engineering & Technology
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​Riyanka
​Bhowal
Natural Language Processing
Walmart Global Tech
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Romy Lorenz
AI & Neuroscience
Stanford University, University of Cambridge
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Sara Khalid
ML for 
​Climate Change
University of
Oxford
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Sarah
Mohamed

Pocket ai & iot
Mathworks
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Selene Xu
​
Recommender systems
Walmart Global Tech
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Shalini Pochineni​
PROPENSITY MODELING PACKAGE
Google
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Shruti
Karulkar

Pocket ai & iot
Mathworks
Picture
Sinduja
Subramaniam
Recommendation systems
Walmart Global Tech
Picture
Sita
Syal
design thinking
for data

Stanford University
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Sreelaxmi Chakkadath
SQL
Indiana University Bloomington
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Usha
Rengaraju

WiDs datathon Competition 2021
Infinite Sum Consulting
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Xi Li
PROPENSITY MODELING PACKAGE
Google
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Yingjie (Isabel)
Weng

data analysis
​for health
Stanford University
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Zhamak
Dehghani

Data Management
democratization
Thoughtworks and
Data Mesh

Initiatives

Conference
Ambassador Program
Datathon
Podcast
Workshops for Everyone
Outreach for Secondary Schools

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© 2022 Women in data science. Women in Data Science is a Registered trademark of Stanford University. 

  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conference
    • Regional Conferences 2022
    • WiDS 2022 Videos
    • Schedule 2022 >
      • In-person Schedule 2022
      • Online Schedule 2022
    • Speakers 2022
    • Ambassadors 2022
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Excellence in Research Award 2022
    • Datathon Resources
    • WiDS Datathon Workshops 2022
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Secondary Schools >
      • Secondary School Resources
      • Education Outreach Committee
      • Education Outreach Student Advisors