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NOTE: This is an in-person event, at University of New South Wales.
Thursday 30 October 2025

DSAi x UNSW Founders presents - 'WOMEN IN AI'

DSAi is back with another meet up event in October, again partnering with UNSW Founders.

In this event, you'll hear directly from and have Q&A with inspiring women leaders in the field of AI:

  • Sue Keay (Director of UNSW AI Institute)
  • Eugene Heo (Software Engineering Manager at Commonwealth Bank of Australia)
  • Leah Crisell (Founder at Brandloop.ai)
  • Phoebe Davis (Senior Product Manager at Decidr AI)
  • Sarah Vallee *(Fellow at UTS Human Technology Institute; AI Policy Specialist at Expertise France) *

We hear from each speaker about their career journey to date, the various pathways to their current role, how their role may evolve in the future, new skills to pick up, and tips for aspiring women in the AI / data science space.

As usual with our meetups, this event will also include:

  • AI tech, market and regulation updates by the DSAi team
  • NETWORKING - network with fellow AI entrepreneurs, investors and professionals.

Investors and venture capital folks are also invited to this event (and scout for promising AI startups).

Doors open at 5.30PM, for a 6PM Start!

Agenda
5:30-6pm: Check-in and networking
6:00-6:10pm: Opening remarks
6:10-6:30pm: Fireside chat with Sue Keay
6.30-6.40pm: Intermission market and regulatory updates by DSAi team
6.40-7:40pm: Fireside chat with Eugene, Leah, Phoebe and Sarah
7.40-8.00pm: Networking til close

Address: Michael Crouch Innovation Centre, UNSW Kensington Sydney NSW 2052 (take the L3 light rail)

Getting There:
Take the L3 Light Rail to UNSW. Then find the Hilmer Building (E10) Ground Floor. Here's a link to the campus map: https://www.making.unsw.edu.au/documents/77/UNSW_Making_MCIC_Campus_Map.pdf

Running Late?
If you arrive after 6:00 pm, please contact us at the number below for assistance:

Event Contact:
[dsai.sydney@gmail.com](mailto:dsai.sydney@gmail.com)

Events in Kensington, AU
Artificial Intelligence
Artificial Intelligence Applications
Machine Learning
Natural Language Processing
Big Data

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