Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Megan Chau is a dedicated and innovative Data Scientist with over 7 years of experience, specializing in ethical AI development and responsible machine learning practices. She possesses a strong background in statistical modeling, natural language processing, and algorithmic fairness. Megan is passionate about building AI systems that are not only powerful but also transparent, equitable, and beneficial to society. She actively contributes to discussions around AI governance and has a knack for translating complex technical concepts into understandable insights for diverse audiences. Megan thrives in collaborative environments, driving projects that bridge the gap between cutting-edge technology and real-world human impact.
Megan Chau's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the conceptualization and development of 'FairLearn-Pro,' an open-source toolkit designed to help developers assess and mitigate bias in machine learning models, which has been adopted by several academic institutions and startups.
Delivered a well-received keynote address on 'The Imperative of Explainable AI in High-Stakes Decision Making' at the Global AI Ethics Summit, influencing industry best practices.
Successfully identified and mitigated significant racial and socio-economic biases in a city's predictive policing algorithm, leading to a 25% improvement in fairness metrics without substantial loss of accuracy.
Regularly contributes insightful articles to a prominent tech publication's 'AI for Good' column, focusing on the societal implications of artificial intelligence and advocating for responsible innovation.
澳洲蒙納許大學 - Year 2019
The Hong Kong Polytechnic University - Year 2013
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Inriskable is an AI-powered risk intelligence platform designed to help financial institutions and regulated businesses automate due diligence, monitor transactions, and manage compliance risks. Their solutions focus on enhancing Anti-Money Laundering (AML) and Know Your Customer (KYC) processes, providing real-time insights to detect and prevent financial crime.
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