Machine Learning in Biotechnology and Life Sciences
Build machine learning models using Python and deploy them on the cloud
Saleh Alkhalifa
BIRMINGHAM—MUMBAI
Machine Learning in Biotechnology and Life Sciences
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ISBN 978-1-80181-191-0
Contributors
About the author
Saleh Alkhalifa is a data scientist and manager in the biotechnology industry with 4 years of industry experience working and living in the Boston area. With a strong academic background in the applications of machine learning for discovery, prediction, forecasting, and analysis, he has spent the last 3 years developing models that touch all facets of business and scientific functions.
About the reviewers
Indraneel Chakraborty is a data science enthusiast with an open mindset and a passion for solving data problems with code and building cloud-based data apps. He has both academic and industrial skill sets that include experience in the curation and analysis of clinical trials registry data for insights into policy research and also experience working with biomedical data providing ML/AI-ready solutions. He enjoys coding in Python and R, with lots of Googling, of course!
Dr Neha Kalla has a PhD in biotechnology from Banasthali University, India. During her PhD, she spent time working as a project assistant in an Indo-Danish project and also worked at the Centre for Conservation and Utilization of BGA, Indian Agricultural Research Institute, India. After completing her PhD, she developed associations with some of the most renowned professors and scientists across India and at Cambridge University. Following a long stint in research and academia, she decided to proceed with her career as a data scientist. She is presently working as a senior data scientist in the sphere of AI, offering machine learning-based retail solutions in Germany.