GDG on Campus Sunway University - Selangor, Malaysia
The technologies shaping tomorrow's world are already challenging today's security assumptions πβοΈ As quantum computing ...
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The technologies shaping tomorrow's world are already challenging today's security assumptions πβοΈ As quantum computing continues to advance, understanding the future of cybersecurity has never been more important.
Beyond Classical Security: Post-Quantum Cryptography & Machine Learning is the last instalment of our Women in Tech Series, exploring how emerging technologies are transforming the way we think about digital security. Through accessible explanations, real-world examples, and interactive discussions, participants will discover why traditional encryption methods face new challenges in the age of quantum computing and how post-quantum cryptography is being developed to protect future digital systems. The session will be led by Christine Tee, Principal Machine Learning Engineer at Turing and Founder & Director of Maxima Technologies, whose expertise spans machine learning, digital transformation, cybersecurity, and emerging technologies.
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2 July 2026 (Thursday)
π 5:00 PM β 7:00 PM
π Lecture Theatre 2, Sunway University
What to expect from the session:
π An introduction to post-quantum cryptography and the future of digital security
βοΈ Insights into how quantum computing concepts are influencing modern cybersecurity approaches
π¬ An open Women in Tech AMA session covering careers, emerging technologies, and experiences in the industry
π Special Benefits-in-Kind for Attendees
The first 20 women attendees will receive complimentary Lafre sanitary pads as part of our event support initiative.
Whether you're interested in cybersecurity, AI, quantum computing, or simply curious about the technologies shaping the future, this session offers a welcoming space to learn, ask questions, and explore new ideas. Join us last episode of our Women in Tech Series and be part of the conversation. ππ
Thursday, July 2, 2026
9:00 AM β 11:00 AM (UTC)
Turing
Remote Principal Machine Learning Engineer
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