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N Gina Malak is a distinguished researcher and principal data scientist with over a decade of experience specializing in artificial intelligence, machine learning, and natural language processing. Currently based in Cambridge, MA, she is deeply involved in pioneering research that bridges theoretical AI concepts with practical, real-world applications. Gina is known for her ability to lead complex projects, mentor junior scientists, and translate intricate data-driven insights into actionable strategies for technological advancement. Her work often focuses on ethical AI development and the societal impact of emerging technologies. She is a strong advocate for diversity in STEM and actively participates in community outreach programs.
N. Gina Malak's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led a multi-disciplinary team as Principal Investigator for 'Project Sentience,' a 3-year research initiative focused on developing more empathetic and context-aware AI conversational agents. Secured $2.5M in grant funding for this project.
Authored a seminal paper on 'Bias Mitigation Techniques in Large Language Models' published in the prestigious journal 'Nature Machine Intelligence,' which has been cited over 500 times.
Delivered a keynote address on 'The Future of Human-AI Collaboration' at the AI Global Summit 2023, sharing insights with an international audience of researchers and industry leaders.
Awarded the 'Innovator in AI Ethics' by the Tech Forward Institute in 2022 for her contributions to developing frameworks for responsible AI development and deployment.
Strayer University - Year 2017
San Francisco State University - Year 1986
Epic Certified - Year 2012
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.
Correlate Health is a healthcare technology company focused on value-based care. They provide a platform that integrates and analyzes disparate data sources to offer actionable insights for healthcare providers and payers, aiming to improve patient outcomes, enhance care coordination, and reduce healthcare costs by simplifying complex data challenges.
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