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An Annual Affair

Women in Data Science Puget Sound Conference

WiDS Puget Sound Conference is independently organized by volunteers in conjunction with Diversity in Data Science to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.

Join us for our annual WiDS Puget Sound Conference and other events to explore latest trends, share insights, and collaborate on the future of Data Science and Machine Learning. This is a unique opportunity to connect with like-minded professionals and gain valuable knowledge.

WiDS Puget Sound Past conferences
 
 

About WiDS Worldwide

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. 

​WiDS started as a conference at Stanford in November 2015. Soon after, volunteer ambassadors took WiDS around the world by organizing similar conferences in their communities under the WiDS umbrella. As the WiDS community grew, WiDS added additional year-round programming in education, innovation and leadership to strengthen community connections, and support, educate and inspire women everywhere.

WiDS’ global community takes part in 200+ events around the world and a global datathon each year. The community has access to upskilling workshops and educational resources that are used by instructors at higher-ed institutions in over 136 countries. The NextGen program is expanding its reach to younger students through a vibrant network of collaborators. The Career Catalyst platform provides a unique opportunity for the community to connect and build a network for career opportunities and mentoring discussions. WiDS Worldwide programs have upskilled and mentored over 150,000 participants in more than 160 countries.

WiDS Worldwide


Diversity in Data Science

Board of Directors

 

Catherine is a Data Science & Analytics Leader, with 17+ years of experience in People Analytics, Sales & Marketing Analytics, and Data Science Consulting. Her educational background consists of four bachelor degrees in Business Administration (Human Resources Management), Economics, Chemistry, and Biochemistry from the University of Washington, complemented by intensive Data Science training from Metis. Whether it’s optimizing workforce strategies, uncovering market trends, or building high-performing teams, she thrives at the intersection of empathetic leadership, innovation, creativity, and impact. She is also passionate about helping foster educational/career opportunities for underrepresented and underprivileged communities. Along with being a Board Member for DiDS, she has enjoyed serving as a WiDS ambassador since 2019, a past co-chair for WiDS Puget Sound Conferences, and as a Board Member for Accessifiers.

Catherine Kay Magsino

Kristin is a data scientist at Pfizer where she leads a team of programmers implementing data pipelines to automate biomarker data quality control, enhancing data accessibility and expediting decision-making processes in clinical trials. While she believes the potential for machine learning and AI is remarkable, so are the challenges that we face with our data. It is often unstructured, scattered, incomplete, and frequently varies considerably between different sources. Kristin is passionate about data standardization, streamlining the aggregation process, and ensuring that data is not only accessible but also primed for analysis. Her goal is to create a conducive environment where data-driven decision making can thrive and to bridge the gap between raw data and the scientists eager to translate it into breakthroughs. In her remaining free time, she enjoys gardening, painting, reading, and board games.

Kristin Mussar

Kelly joined the data science field after 6 years working with environmental nonprofits. Since her passion for volunteering still needs an outlet, she leaped at the opportunity to get involved with Data Circles and the Women in Data Science Puget Sound conference. After DS boot camp and a year of consulting, she joined the small, but mighty team of data scientists at Trupanion. Her dog greatly appreciates his insurance benefits. She’s excited to experience another year of knowledge sharing with WiDS!

Kelly Stroh

Rebecca Grollman is a board member of the Diversity in Data Science non-profit and a Senior Data Scientist at Zillow where her work focuses on experimentation and research to help home buyers connect with agents. Before jumping into data science, Rebecca earned her Ph.D. in physics at Oregon State University. Rebecca first got involved in the Women in Data Science Puget Sound Conference as a speaker, and has been a volunteer for the last six years. She has enjoyed seeing the conference grow and create a supportive community for women in science and technology. Rebecca also enjoys playing the flute and running.

Rebecca Grollman

Dana is a retired Data Scientist, Program Manager, Lean Practitioner, Mechanical and Aeronautical Engineer. She has been involved in the planning committee for the WiDS Puget Sound conference since 2022. She’s passionate about supporting young people, particularly women, as they start their careers in Data Science.

Dana Lindquist

 
 

For more information on Diversity in Data Science, visit our website www.diversityindatascience.org.

 2025 Fall Events Team

I am currently a Senior Data Scientist at The Energy Authority. Prior to this, I received my PhD in Chemical Engineering at Purdue University. Throughout my education & career, I have enjoyed using applied mathematics and data science to solve interesting problems ranging from neurovascular blood flow, polymer design to my current role which is assisting public utilities manage their assets. In my free time, I like crocheting, hiking, seafood harvesting or any new hobby. I am excited to be a part of the WIDS community!

Ayesha is a data scientist at Boeing where she is developing solutions that utilize generative AI and machine learning for clients within Defense & Space. She holds two bachelor's degrees, one in statistics and one in physics, from North Carolina State University. In her free time, Ayesha loves to read, run, play piano, and travel.

Kelly joined the data science field after 6 years working with environmental nonprofits. Since her passion for volunteering still needs an outlet, she leaped at the opportunity to get involved with Data Circles and the Women in Data Science Puget Sound conference. After DS boot camp and a year of consulting, she joined the small, but mighty team of data scientists at Trupanion. Her dog greatly appreciates his insurance benefits. She’s excited to experience another year of knowledge sharing with WiDS!

Hi! I'm Samridhi Vats, currently working as a Business Analyst at Amazon, where I focus on generating insights to drive operational excellence and customer-centric innovations. I hold a Master’s in Business Analytics from Purdue University and have prior experience in advanced analytics and strategy consulting at ZS Associates, primarily in the healthcare domain.

Kristin is an associate director at Pfizer where she leads a team of programmers implementing data pipelines to automate biomarker data quality control, enhancing data accessibility and expediting decision-making processes in clinical trials. While she believes the potential for machine learning and AI is remarkable, so are the challenges that we face with our data. It is often unstructured, scattered, incomplete, and frequently varies considerably between different sources. Kristin is passionate about data standardization, streamlining the aggregation process, and ensuring that data is not only accessible but also primed for analysis. Her goal is to create a conducive environment where data-driven decision making can thrive and to bridge the gap between raw data and the scientists eager to translate it into breakthroughs. In her remaining free time, she enjoys gardening, painting, reading, and board games.

Yuqi Zhang is a Data Scientist at Amazon with a background in statistics and a passion for applied machine learning and generative AI. Based in the Greater Seattle area, she enjoys community-building and discovered a love for soccer after moving to the Pacific Northwest. Yuqi attended WiDS for the first time this year and is excited to contribute to a community that empowers women in data science.

Kamala Jagannathan

I recently graduated with a Master's in Data Science and volunteered for my first WiDS event this past year. I am passionate about data, supporting other women in the field, and building community. In my free time I enjoy hiking, swimming, yoga, and going to shows!