WiDS Workshop Instructors

Meet the WiDS Workshops Instructors!
Want to lead a WiDS Workshop? Apply now.
Abeynaya Gnanasekaran
linear least squares
Raytheon
Alexandra Cerekovic
 Recommender systems
Walmart Global Tech
Alleanna Clark
expLORATORY DATA ANALYSIS

​Deepnote
Anna Kahkoska
PRECISION MEDICINE
​University of North Carolina at Chapel Hill
Apurva 
Sinha
time Series Forecasting
Walmart Global Tech
Arushi Kapurwan
ARTIFICIAL INTELLIGENCE
MathWorks
Ashwini Chandrashek-haraiah
Bayesian machine learning
Walmart Global Tech
Aviv Ben Arie
EXPLAINABLE AI


​Intuit
Bingjie Xu​
Propensity Modeling Package
​
Google
Chu Lahlou
deep learning & data-driven hardware
Microsoft
Cindy Orozco
Bohorquez
 Parallel Computing
Stanford University
Cindy Gonzales
DEEP LEARNING
Lawrence Livermore National Laboratory
Debanjana
Banerjee
Bayesian machine learning
Walmart Global Tech
Dora
Demszky
Natural language processing
Stanford University
Mrs Emily Godson (née Wheaton)
Data science in healthcare
Hitachi Vantara
Emily
Miller
actionable
ethics
DrivenData
Eileen
Martin
Arithmetic
Arrays
Virginia Tech
Gaby Arellano Bello
low-code ai

​MathWorks
Grace Woolson
python

​MathWorks
Hana M.K.
Data storytelling


​Podcast Host
Heather
​Gorr
Machine Learning
MathWorks
Haley
Hedlin
Data analysis
​for Health
Stanford University
Izzy
​Aguiar
Telling and Sharing Stories​
Stanford University
Jenn Schilling
DESIGN THINKING
​
University of Arizona
Jennifer Vlasiu
A/B TESTING​
York University
Jingwen
Lu
Language
processing
Microsoft
Julia Christina Costacurta​
HIDDEN MARKOV MODELS
Stanford University
Julia
Ling
ml for scientific
r&d
Tidal
Julia
Olivieri
GraphS
​
Stanford University
Kathryn Schumacher
NEURAL NETWORKS
General Motors
Laura
Lyman
​
Linear Algebra 
Macalester College​​
Lingling Xu
PROPENSITY MODELING PACKAGE
Google
Loren Shure
Machine Learning
​​
MathWorks
Louvere
Walker-Hannon
Machine Learning
MathWorks
Mackenzie Simper
MARKOV CHAINS

​Stanford University
​Madeleine
Udell
Automating machine learning
Cornell University
Manogna Mantripragada
ML MODELS

​Greenlink Analytics
Margot
Gerritsen
Linear Algebra
​ 
Stanford University
Maria
Gargiulo
Imputing Missing data
HRDAG
Megan
Price
Imputing Missing data
HRDAG
Neha Sardesai
low-code ai

​MathWorks
Nicole Crosdale
data visualizations
University of Florida
Nikki Freeman
precision medicine
University of North Carolina at Chapel Hill
Ornela Nanushi​
MAchine Learning
National Observatory of Athens
Pariza Kamboj
Data pre-processing & data wrangling
Sarvajanik College of Engineering & Technology
​Riyanka
​Bhowal
Natural Language Processing
Walmart Global Tech
Romy Lorenz
AI & Neuroscience
Stanford University, University of Cambridge
Roxanne Suzette Lorilla​
MAchine Learning
National Observatory of Athens
Sara Khalid
ML for 
​Climate Change
University of
Oxford
Sarah
Mohamed

Pocket ai & iot
Mathworks
Selene Xu
Recommender systems
Walmart Global Tech
Shalini Pochineni​
PROPENSITY MODELING PACKAGE
Google
Sheeba Ransing
artificial intelligence
Mathworks
Shruti
Karulkar
Pocket ai & iot
Mathworks
Shweta Singh
ARTIFICIAL INTELLIGENCE
Mathworks
Sinduja
Subramaniam
Recommendation systems
Walmart Global Tech
Sita
Syal
design thinking
for data
Stanford University
Sreelaxmi Chakkadath
SQL
Indiana University Bloomington
Supreet Kaur
explainable ai


Morgan Stanley