About

Vibhor Sehgal is an accomplished AI Researcher with a passion for leveraging technology to solve complex problems. With over 3.85 years of relevant experience, Vibhor has worked with some of the most prestigious organizations in the world, including Norton Research Lab, Microsoft Research, UC Berkeley, and NUS. Currently serving as an Artificial Intelligence Researcher at avast, Vibhor is responsible for developing cutting-edge AI solutions that can help organizations stay ahead of emerging threats. Leveraging his extensive knowledge of AI and machine learning, Vibhor is constantly pushing the boundaries of what's possible in the field of cybersecurity. Prior to his current role, Vibhor served as a Graduate Student Researcher at UC Berkeley School of Information, where he worked on tackling the problem of disinformation at scale. Working alongside Professor Hany Farid, Vibhor developed innovative solutions that can help identify and mitigate the spread of fake news and misinformation. Vibhor's expertise in AI and machine learning has also been recognized by Microsoft, where he served as a Research Intern at Microsoft Research. During his time at Microsoft, Vibhor worked alongside Jonathan Larson on analyzing and visualizing complex user networks. His network metrics and visualizations are now being rolled out in Microsoft Productivity Score. Vibhor holds a Master's degree in Computer and Information Sciences from the University of California, Berkeley, and a Bachelor's degree from Maharaja Agrasen Institute of Technology. He has a strong command of various technologies and tools, including Research Scientist and AI. Overall, Vibhor Sehgal is a highly skilled and accomplished AI Researcher who is passionate about using technology to solve complex problems. With his extensive experience and deep knowledge of AI and machine learning, Vibhor is well-positioned to make a significant impact in the field of cybersecurity and beyond.