Anima Anandkumar

Anima Anandkumar

Anima Anandkumar is a trailblazer in the field of AI and scientific discovery. As Bren Professor at Caltech, she is passionate about designing principled AI algorithms and applying them to interdisciplinary domains.

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Anima Anandkumar's Biography

Anima Anandkumar is the esteemed Bren Professor at Caltech. She is a visionary at the forefront of AI's transformative power in scientific domains. With a passion for harnessing AI's potential, Anandkumar has dedicated her research to revolutionising scientific applications through cutting-edge algorithms.

Anima Anandkumar's influence extends far beyond academia, as she collaborates with research centers, corporations, and governments to integrate AI applications across industries. Her AI algorithms have served as catalysts for innovation, enabling breakthroughs in scientific simulations, weather forecasting, autonomous drone flight, and drug design.

As a keynote speaker, Anandkumar elucidates how AI accelerates scientific discovery, inspiring audiences to envision the boundless possibilities of technology. She is the recipient of several honours such as the IEEE fellowship, Alfred. P. Sloan Fellowship, NSF Career Award, and Faculty Fellowships from Microsoft, Google, Facebook, and Adobe. Anandkumar has also received best paper awards at venues such as NeurIPS and the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research.

An active advocate for diversity and inclusion in AI, Anima Anandkumar is committed to fostering a supportive environment for underrepresented groups in the field. Through her mentorship and involvement in programmes like Caltech's WAVE Fellows, WIML, and Black in AI, she empowers students from diverse backgrounds to thrive in AI research. She is part of the World Economic Forum's Expert Network and was previously principal scientist at Amazon Web Services and senior director at NVIDIA.

Anima Anandkumar received her B.Tech from the Indian Institute of Technology Madras, and her PhD from Cornell University. She did her postdoctoral research at MIT and an assistant professorship at the University of California Irvine.

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