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WiCSE Past Events Gallery

WiCSE Faculty Mentorship – Exploring Computer Science

Join Prof Sonya Allin and Prof Ines Arous for an engaging mentorship session on Exploring Computer Science, where students will gain insights into the different areas within the field, how to identify their interests and strengths, and the academic, research, and career paths they can pursue. The session will also highlight the role of technical projects, internships, and experiential learning in shaping future directions, the skills important for success in Computer Science, and ways to connect with peers, mentors, and professional communities while exploring the field.

Date & Time: March 27, 2026, 4:00 – 5:00 pm
Location: LAS-3033

Faculty Bios:
Prof Sonya Allin
Prof Ines Arous


International Women’s Day: Women Leading Technology for Society – Where Inclusion, Care, and Technology Meet

All STEM students and the faculty at Lassonde are warmly invited to a professional and social event organized by the Women in Computer Science & Engineering (WiCSE) committee. The event will feature an informative panel discussing the societal impact of women’s leadership within academia and industry, followed by an audience Q&A session.

WiCSE acknowledges the support of the Lassonde Dean’s Office, the Diversity, Equity and Inclusion (DEDI) Committee, IEEE VTS Toronto Chapter, and the Women in Science & Engineering (WiSE) student club.

Date & Time: March 5, 2026, 11:00 AM – 1:30 PM
Location: Bergeron Eatery, York University

Event Page


WiCSE Faculty Mentorship – Graduate Studies and Future Academic Planning

Join Prof Richard I Hornsey and Prof Hui Wang for an engaging mentorship session on Graduate Studies and Future Academic Planning, where students will gain insights into navigating graduate study options and planning future pathways across academia and industry, including understanding expectations in research-oriented, professional, and industry-aligned roles.

Date & Time: February 12, 2026, 4:00 – 5:00 pm
Location: LAS-3033

Faculty Bios:
Prof Richard I Hornsey
Prof Hui Wang


Mentorship Q&A – Internship and Co-op Preparations

Join Prof Suprakash Datta and Prof Emily Kuang for an engaging mentorship session on Internship and Co-op Preparations, where students can learn about career readiness, application strategies, and the key technical and professional skills needed to succeed in industry internships and co-op roles.

Date & Time: January 26, 2026, 2:00  - 3:00 pm
Location: LAS-3033


Mentorship Q&A – Electrical and Computer Engineering Focus

Join Prof Anirudh Kaushik and Prof Sima Soltanpour for an engaging mentorship session on Electrical and Computer Engineering, where students can ask about courses, career preparation, and key skills needed for success in Electrical and Computer Engineering. 

Date & Time: January 21, 2026, 12:00 noon – 1:00 pm 
Location: LAS-3033


Bridging the world with words: Multilingual and multicultural natural language processing – An Invited Talk

As part of our ongoing efforts for women and allies in STEM, we are pleased to invite you to an event featuring Dr Lee, Assistant Professor at Ontario Tech University, who will share her inclusive and impactful research, highlighting her journey as a woman navigating and shaping the field. This event is a wonderful opportunity to learn about the evolving landscape of multilingual Natural Language Processing. 

Date & Time: November 25, 2025, 1:00pm  - 2:00pm 
Location: BRG 313

Abstract: Despite the rapid advances in Large Language Models (LLM), research efforts have historically focused disproportionately on high-resource languages, particularly English, leaving over 7,000 living languages underserved. We address the fundamental challenge of bridging the gap of low-resource language (LRL) translation in multilingual language models. Low-resource languages are typically characterized by a scarcity of both unlabeled and labeled data, as well as limited tools and models. This talk explores strategies aimed at bridging the gap of low-resource language (LRL) translation in multilingual models, where LRLs are characterised by a limited scarcity of both unlabeled and labelled data, as well as limited tools and models.


Women in STEM Meet and Mingle

A professional and social event organized by the Women in Computer Science & Engineering (WiCSE) committee, in collaboration with the Women in Science & Engineering (WiSE) student club. The event will feature a faculty and upper-year student panel, interactive Q&A sessions, and fun social activities to strengthen our community.

Date & Time: November 12, 2025, 5:30pm – 7:00pm
Location: BRG eatery