27 мин.
FODD 11 - Abhishek Pandey - Machine Learning Blueprints for Pharma Discovery Breakthroughs Future of Drug Discovery
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- Бионауки
In this talk, Murat speaks with Abhishek Pandey, Principle Research Scientist and Pharma Discovery Group Lead at AbbVie.
Abhishek currently leads RAIDERS, a Pharma Discovery group integrating machine learning across all of AbbVie's working groups to augment drug discovery capabilities. Abhishek's groups work spans cheminformatics, imaging research, multi-omics, as well as the computation behind many of AbbVie's current partnerships and collaborations.
We'll be exploring how the machine learning group is transforming the processes across multiple working groups at the pharmaceutical giant, AbbVie. We'll also be unravelling the story of how Abhishek began his pioneering work at AbbVie.
You will learn:
About Abhishek's strategy for bridging chemistry, biology and computer science expertise to integrate machine learning across AbbVie's pharma discovery processes.
About Abhishek's vision for the future of drug discovery, as we explore the pressing needs of the pharmaceutical industry from both a technical and social standpoint.
About Abhishek:
Abhishek started his career as a software engineer at Toshiba. Following this, Abhishek began his PhD in medical engineering and image processing at the University of Arizona. This led Abhishek to become a core member of the precision medicine AI team at Tempus, developing ways to improve cancer imaging pipelines to help oncologists detect cancers more efficiently. Abhishek then joined AbbVie, where he founded the machine learning / deep learning team - the influence of which has expanded across the entire company.
Things mentioned:
Abhishek Pandey, Principle Research Scientist and Pharma Discovery Group Lead at AbbVie.
RAIDERS: Pharma Discovery and Developmental Sciences team at AbbVie.
Google
Meta
Toshiba
Tempus Labs (now Tempus).
PADME (Protein And Drug Molecule interaction prEdiction), a framework based on Deep Neural Networks, to predict real-valued interaction strength between compounds and proteins.
NeurIPS Conference (Conference on Neural Information Processing Systems)
InSitro
Facebook
Additional Materials:
Watch the recording of the live event! https://www.youtube.com/watch?v=F9kADawRPOs
First time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a main focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when there's a new event scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
Twitter (x.com) : https://twitter.com/AntiverseHQ
In this talk, Murat speaks with Abhishek Pandey, Principle Research Scientist and Pharma Discovery Group Lead at AbbVie.
Abhishek currently leads RAIDERS, a Pharma Discovery group integrating machine learning across all of AbbVie's working groups to augment drug discovery capabilities. Abhishek's groups work spans cheminformatics, imaging research, multi-omics, as well as the computation behind many of AbbVie's current partnerships and collaborations.
We'll be exploring how the machine learning group is transforming the processes across multiple working groups at the pharmaceutical giant, AbbVie. We'll also be unravelling the story of how Abhishek began his pioneering work at AbbVie.
You will learn:
About Abhishek's strategy for bridging chemistry, biology and computer science expertise to integrate machine learning across AbbVie's pharma discovery processes.
About Abhishek's vision for the future of drug discovery, as we explore the pressing needs of the pharmaceutical industry from both a technical and social standpoint.
About Abhishek:
Abhishek started his career as a software engineer at Toshiba. Following this, Abhishek began his PhD in medical engineering and image processing at the University of Arizona. This led Abhishek to become a core member of the precision medicine AI team at Tempus, developing ways to improve cancer imaging pipelines to help oncologists detect cancers more efficiently. Abhishek then joined AbbVie, where he founded the machine learning / deep learning team - the influence of which has expanded across the entire company.
Things mentioned:
Abhishek Pandey, Principle Research Scientist and Pharma Discovery Group Lead at AbbVie.
RAIDERS: Pharma Discovery and Developmental Sciences team at AbbVie.
Google
Meta
Toshiba
Tempus Labs (now Tempus).
PADME (Protein And Drug Molecule interaction prEdiction), a framework based on Deep Neural Networks, to predict real-valued interaction strength between compounds and proteins.
NeurIPS Conference (Conference on Neural Information Processing Systems)
InSitro
Facebook
Additional Materials:
Watch the recording of the live event! https://www.youtube.com/watch?v=F9kADawRPOs
First time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a main focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when there's a new event scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
Twitter (x.com) : https://twitter.com/AntiverseHQ
27 мин.