Government and Industry Researchers

CRA-W sponsors a number of activities for women researchers working in industrial and government research labs. While some of these activities are specifically focused on women in industrial and government labs, others have a broader focus but are nonetheless relevant to these researchers. Both types of activities are included here.

Grants for travel to workshops and conferences for women in industry and government labs.

This award recognizes women working in industrial/government research labs who have had a positive and significant impact on advancing women in the computing research community.

The Grad Cohort Workshop brings together women graduate students in their first three years of graduate school for a series of presentations and panels with successful senior women researchers from academic, industrial, and government laboratories about how to succeed in graduate school and in a research career. 

The labs track of the Early CMW workshop (Early CMW-L) provides mentoring and information for junior professionals in government and industry research labs, as well as PhD students interested in pursuing careers in those labs.  The education track (Early CMW-E) is designed to provide advice and mentoring for junior faculty and graduate students interested in a career in academia.

The Distinguished Lecture Series sends researchers working in labs to campuses to encourage women and minorities to attend graduate school and consider careers in research.

These workshops provide career mentoring advice and discipline-specific overviews of a particular field. Workshops help young researchers in industry and government labs develop interest and knowledge about the discipline. Some speakers are drawn from research labs.

ResearcHers is a discussion mailing list whose purpose is to provide a space for communication and networking of women in computer science research, breaking the isolation of women computer scientists in industry, government labs, and academia.

The Mid Career Mentoring Workshops (including Mid CMW-E, Mid CMW-L, and Mid CMW-R) help mid-career women working in academe as researchers or educators, and in industry or government research labs significantly advance in their careers. Those in academe at research or teaching institutions should be striving to reach the full professor level. Those in industry should be striving to reach the top of the technical ladder as a distinguished scientist or fellow, or to enter into research management.

Profile of the Month

Profile of the Month

Catherine Baudin is a Principal Research Scientist at eBay Research Labs (ERL), the technology and research arm of eBay. Catherine ’s expertise is in text mining/knowledge discovery, semantic indexing for vertical search, log analysis and user studies. At ERL, she mainly conducts research and designs tools to detect fraud patterns on eBay. She has also developed methods for query analysis and built systems for topic and sentiment extraction in text sources such as blogs and user forums. In her work she has proven that combining domain knowledge with user interaction goes a long way toward effective data mining in a not-so-structured ecommerce space like eBay.

Catherine has over 15 years of research and industry experience. Prior to joining eBay, she was the CTO of Kaidara Inc. where she designed tools to structure and analyze customer data for the automotive, retail and pharmaceutical industry. Prior to that, Catherine worked at the PriceWaterhouseCoopers technology center in R&D for five years and was a principal investigator at the NASA Ames Research Center for six. At PWC she used text mining to classify, extract and monitor information from the web and for the company’s knowledge management system. At NASA, she worked in a multi-disciplinary team with scientists, engineers and the Stanford Center for Design Research to develop information access tools that could learn from their interaction with users.

Catherine has a PhD in computer science from Pierre et Marie Curie University in Paris, France. Teaching LOGO programming to fifth graders as a graduate student introduced her to Artificial Intelligence. This led her to become a postdoctoral scholar at the Stanford Knowledge Systems Lab, where she was attracted to the lab's experimental approach to research. Catherine enjoys good coffee, painting and Chinese qi gong. She was born in France to Russian and Sicilian immigrants and lives in Palo Alto with her husband and two sons.

Past Profiles