My bird's-eye view on Machine Learning for Drug Discovery course.
Hello! my name is Asif Jahan. I come from a core Molecular Biology background with a wide range of theoretical, as well as practical skill-sets to exploit the genetic and biochemical potentials of microbial, mammalian, and plant cells for the wellbeing of humankind.
I have a bachelor's and a master's degree in Biotechnology from BRAC university, Dhaka, Bangladesh.
I also have had the experience to work in two of the most reputed, state-of-the-art research laboratories of the country, namely ICDDR,B (International Center for Diarrhoeal Disease Research, Bangladesh) and IDESHI (Institute for Developing Science and Health Initiatives).
I got myself involved with Uresearcher as they caught my attention with their well-decorated module, mingling both with Machine Learning and In-silico drug discovery. I personally found this program to be really timeworthy!
The contents are very diversed and well paved with real time demonstrations by the author himself with two Nature publications along with one featured by MDPI Cell.
The lectures drive you through the most intricate and technical facets of Chemical Machine Learning, which stand perfectly with the demand of pharmaco-chemical research skills dedicated to shallow AI...!
Most importantly, this course is designed with moderate theoretical approach, and a "nuclear grade" hands-on training that can make you ready to embark on advance subfields of AI. A highly recommended program for those looking for a transition to AI based biochemo-informatics.
I take ultimate honor being a part of the very first cohort of this program...
Kudos to Uresearcher!

Reply from Uresearcher





