WiDS Tacoma @ UW Tacoma is independently organized by Dr. Juhua Hu from SET and the Center for Data Science to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.

Save the date!

This year's WiDS Tacoma @ UW Tacoma conference will be held on November 1st, 2024 at GWP 320 of UW Tacoma, 1900 Commerce Street, Tacoma, WA 98402, which is in-person only. To attend the conference, please register using the following button. Any further info, contact  Dr. Juhua Hu.

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Read about 2024 WiDS Tacoma @ UW Tacoma

2024 Women in Data Science (WiDS) Tacoma @ UW Tacoma Conference

November 1, 2024, 9:30am-2:00pm (lunch provided)

GWP 320 of UW Tacoma, 1900 Commerce Street, Tacoma, WA 98402 (In-person only)

We will also conduct a round table social session on "building a multidisciplinary research team" during the lunch.

Featured speakers [in the talk order]:

  • Deveeshree Nayak


    Assistant Teaching Professor of Information Technology
    UW Tacoma
    Topic: Cybersecurity

  • Niharika Nasam

    MSc Student of Computer Science & Systems
    UW Tacoma
    Topic: Bioinformatics

  • Cassandra Donatelli 

    Assistant Professor of Mechanical Engineering
    UW Tacoma
    Topic: Bio-inspired Robotics

  • Sikha Pentyala 

    PhD Student of Computer Science & Systems
    UW Tacoma
    Topic: Illuminating Dark Data: Privacy-preserving AI in Distributed Data Silos

  • Angela Kitali

    Assistant Professor of Civil Engineering
    UW Tacoma
    Topic: Leveraging Emerging Data Sources in Transportation to Improve Highway Safety and Traffic Operations

Read about 2023 WiDS Tacoma @ UW Tacoma

2023 Women in Data Science (WiDS) Tacoma @ UW Tacoma Conference

June 2, 2023, 9am-3pm

CP108 of UW Tacoma, 1900 Commerce Street, Tacoma, WA 98402 and Zoom

Featured speakers [in the talk order]:

  • Renee Burton

    wids-renee


    Senior Director of Threat Intelligent
    Infoblox
    Talk: Groking Machine Learning Performance in Security Applications

  • Sikha Pentyala 

    wids-sikha

    PhD Student of Computer Science & Systems
    UW Tacoma
    Topic: Privacy-Preserving Feature Extraction for Anomaly Detection

  • Amandeep Puri 

    wids-amandeep

    Diversity, Equity and Inclusion Officer
    Washington State Patrol
    Topic: Data-Centric Equitable Policing

  • Weichao Yuwen

    wids-weichao

    Associate Professor of Nursing and Healthcare Leadership
    UW Tacoma
    Topic: Data Science in Digital Health Applications and Health Equity

  • Athirai Irissappane

    wids-athirai

    Applied Scientist
    Amazon
    Topic: Towards Using Reinforcement Learning for Recommender Systems

Read about 2022 WiDS Tacoma @ UW Tacoma

2022 Women in Data Science (WiDS) Tacoma @ UW Tacoma conference

June 1, 2022  9am-3pm

GWP 320, UW Tacoma, 1754 Pacific Ave, Tacoma, WA 98402 and Zoom 

FULL AGENDA (PDF)

Featured speakers:

  • Connie Yang

    Lead Data Scientist

    Pallet

    Topic: Data Science in Tech

  • Sowmya Kumar

    Senior Data Scientist

    Microsoft

    Topic: Forecasting Using Machine Learning & Deep Learning Methods, Data Science and ITS Career Advice

  • Jaya Mathew 

    Senior Data Scientist

    Microsoft

    Topic: Demystifying NLP and AI in Azure for Beginners

  • Wiegand Ellen

    VP & CIO

    Virginia Mason Franciscan Health

    Topic: Data Science and ITS Career Advice

  • Sara Ford

    Engineer & Data Scientist

    US Navy

    Topic: Data Science and ITS Career Advice

Read about 2021 WiDS Tacoma @ UW Tacoma

2021 Women in Data Science (WiDS) Tacoma @ UW Tacoma conference

March 8, 2021  8am-5pm

Virtually over Zoom

FULL AGENDA (PDF)

Featured speakers:

  • Jasmine Wilkerson

    Senior Data Scientist and Team Manager

    KenSci

    Topic: Healthcare

  • Chhaya Choudhary

    Data Scientist

    Infoblox

    Topic: Cybersecurity

  • Luna Zhang

    Assistant Professor

    Milgard School of Business, UW Tacoma

    Topic: Business Analytics

  • Mayana Pereira

    Data Scientist

    Microsoft

    Topic: AI for Good