Staff Machine Learning Scientist Ali Madani presents on "AI and Data Science" at the 4th Transatlantic ECI GPCR symposium on Sept. 5 - a 2-day symposium for early career investigators (ECIs) designed to promote collaboration among early-career scientists in the GPCR field and provide guidance from more established researchers. 👇
🌟 We're excited to continue our series of announcements for the 4th Transatlantic ECI GPCR Symposium! 🌟 For our fifth lunch/dinner panel, we're proud to introduce the distinguished panelists from the field of #AI and #DataScience in GPCR research. These experts are at the forefront of innovation, driving the future of GPCR studies: 🧠 M. Madan Babu, Principal Investigator at St. Jude Children's Research Hospital, a leader in data science in the #GPCR research field, combining computational biology and experimentation to further the understanding of GPCRs at different scales of complexity: from atomic levels studying structures to interaction networks to variation in the human population. 🧠 Tian Cai, Ph.D., Senior Computational Research Scientist at St. Jude Children's Research Hospital, a specialist in deep learning with applications in drug discovery. 🧠 Ali Madani, Staff Machine Learning Scientist at Recursion, who uses machine learning to advance and improve drug discovery, for example in cancer. As always, a big thank 🙏 you for being a part of this year's symposium! This session promises to be an insightful discussion you won’t want to miss! Join us virtually for free for the 4th ECI GPCR #Symposium via the QR code or the link in the comments.
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