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

Apurva 
Sinha

time Series Forecasting

Walmart Global Tech

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

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 

Stanford University

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

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

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

Shruti
Karulkar

Pocket ai & iot

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

Tereza Vaňková​

expLORATORY DATA ANALYSIS

Deepnote

Usha
Rengaraju

WiDs datathon Competition 2022

Infinite Sum Consulting

Xi Li

PROPENSITY MODELING PACKAGE

Google

Yingjie (Isabel)
Weng

data analysis
​for health

Stanford University

Zhamak
Dehghani

Data Management
democratization

Thoughtworks and
Data Mesh