Dr. Zhong Wang is a career computational biologist at Lawrence Berkeley Lab and DOE Joint Genome Institute (JGI); he is also an adjunct professor at University of California, Merced. He received his B.S in Microbiology from Shandong University in 1994, and his Ph.D. in Cell Biology from Duke University in 2004. He did his postdoc in the Institute of Genome Science and Policy at Duke University before becoming a research scientist at Yale University in 2008 and director of bioinformatics at Yale Stem Cell Center. He joined JGI in 2009 and established his research group. His research interests include metagenomics algorithm development, scalable software solutions for genomics analysis, and AI applications in genomics. Dr. Wang published many scientific papers and book chapters including several on Science and Nature. He recently authored a book “Introduction to computational metagenomics”. Adrish Sannyasi is an accomplished AI solutions leader with deep expertise in cloud data platforms, artificial intelligence, and healthcare and life sciences applications. He has consistently leveraged data and AI technologies to address complex industry challenges and drive measurable business outcomes across the healthcare and life sciences ecosystem. As Vice President of Customer Engineering and Delivery at Rhino Federated Computing Platform, Adrish helps organizations advance their AI initiatives across a wide range of projects, including large language models, protein language modeling, molecular property prediction, healthcare data analytics, data harmonization, and medical imaging AI. Adrish holds a Bachelor’s degree in Electrical Engineering from Visvesvaraya National Institute of Technology (India), an MBA from the University of Maryland, and a Graduate Certificate in Biomedical Data Science from the Stanford School of Medicine.Mr. Jonathan Jiang is a computer scientist and entrepreneur who has been tackling hard problems in a variety of industries using cloud computing and AI.  At MemVerge Inc., Jiang led the development of Memory Machine Cloud, an AI and Cloud Computing platform optimized for life sciences. Prior to MemVerge, he worked in Big Data, virtualization, and internetworking at VMware, EMC, and Cisco Systems.  He also founded several software startups in eCommerce and TravelTech.  Jiang received his MS in Information Systems from New York University, and BS (summa cum laude) in Interdisciplinary Engineering from Cooper Union.

• Preface.- Chapter 1: The complexity and diversity of life science.- Chapter 2: Cloud Computing Democratizes High-Performance Computing for All.- Chapter 3: The generative AI brought new opportunities in Life.- Chapter 4: Case studies.- Chapter 5: Technical Challenges.- Chapter 6: Cost and Resource Management.- Chapter 7: Privacy, Confidentiality, Security and Compliance.- Chapter 8: Business Impact.- Chapter 9: Technological advancements on the horizon.- Chapter 10: Toward the Ideal Cloud/AI Platform.- Chapter 11: The Next Frontier in Life Sciences: A Call to Action.- Appendices.

Dr. Zhong Wang is a career computational biologist at Lawrence Berkeley Lab and DOE Joint Genome Institute (JGI); he is also an adjunct professor at University of California, Merced. He received his B.S in Microbiology from Shandong University in 1994, and his Ph.D. in Cell Biology from Duke University in 2004. He did his postdoc in the Institute of Genome Science and Policy at Duke University before becoming a research scientist at Yale University in 2008 and director of bioinformatics at Yale Stem Cell Center. He joined JGI in 2009 and established his research group. His research interests include metagenomics algorithm development, scalable software solutions for genomics analysis, and AI applications in genomics. Dr. Wang published many scientific papers and book chapters including several on Science and Nature. He recently authored a book “Introduction to computational metagenomics”. Adrish Sannyasi is an accomplished AI solutions leader with deep expertise in cloud data platforms, artificial intelligence, and healthcare and life sciences applications. He has consistently leveraged data and AI technologies to address complex industry challenges and drive measurable business outcomes across the healthcare and life sciences ecosystem. As Vice President of Customer Engineering and Delivery at Rhino Federated Computing Platform, Adrish helps organizations advance their AI initiatives across a wide range of projects, including large language models, protein language modeling, molecular property prediction, healthcare data analytics, data harmonization, and medical imaging AI. Adrish holds a Bachelor’s degree in Electrical Engineering from Visvesvaraya National Institute of Technology (India), an MBA from the University of Maryland, and a Graduate Certificate in Biomedical Data Science from the Stanford School of Medicine.Mr. Jonathan Jiang is a computer scientist and entrepreneur who has been tackling hard problems in a variety of industries using cloud computing and AI.  At MemVerge Inc., Jiang led the development of Memory Machine Cloud, an AI and Cloud Computing platform optimized for life sciences. Prior to MemVerge, he worked in Big Data, virtualization, and internetworking at VMware, EMC, and Cisco Systems.  He also founded several software startups in eCommerce and TravelTech.  Jiang received his MS in Information Systems from New York University, and BS (summa cum laude) in Interdisciplinary Engineering from Cooper Union.

• Preface.- Chapter 1: The complexity and diversity of life science.- Chapter 2: Cloud Computing Democratizes High-Performance Computing for All.- Chapter 3: The generative AI brought new opportunities in Life.- Chapter 4: Case studies.- Chapter 5: Technical Challenges.- Chapter 6: Cost and Resource Management.- Chapter 7: Privacy, Confidentiality, Security and Compliance.- Chapter 8: Business Impact.- Chapter 9: Technological advancements on the horizon.- Chapter 10: Toward the Ideal Cloud/AI Platform.- Chapter 11: The Next Frontier in Life Sciences: A Call to Action.- Appendices.

Dr. Zhong Wang is a career computational biologist at Lawrence Berkeley Lab and DOE Joint Genome Institute (JGI); he is also an adjunct professor at University of California, Merced. He received his B.S in Microbiology from Shandong University in 1994, and his Ph.D. in Cell Biology from Duke University in 2004. He did his postdoc in the Institute of Genome Science and Policy at Duke University before becoming a research scientist at Yale University in 2008 and director of bioinformatics at Yale Stem Cell Center. He joined JGI in 2009 and established his research group. His research interests include metagenomics algorithm development, scalable software solutions for genomics analysis, and AI applications in genomics. Dr. Wang published many scientific papers and book chapters including several on Science and Nature. He recently authored a book “Introduction to computational metagenomics”. Adrish Sannyasi is an accomplished AI solutions leader with deep expertise in cloud data platforms, artificial intelligence, and healthcare and life sciences applications. He has consistently leveraged data and AI technologies to address complex industry challenges and drive measurable business outcomes across the healthcare and life sciences ecosystem. As Vice President of Customer Engineering and Delivery at Rhino Federated Computing Platform, Adrish helps organizations advance their AI initiatives across a wide range of projects, including large language models, protein language modeling, molecular property prediction, healthcare data analytics, data harmonization, and medical imaging AI. Adrish holds a Bachelor’s degree in Electrical Engineering from Visvesvaraya National Institute of Technology (India), an MBA from the University of Maryland, and a Graduate Certificate in Biomedical Data Science from the Stanford School of Medicine.Mr. Jonathan Jiang is a computer scientist and entrepreneur who has been tackling hard problems in a variety of industries using cloud computing and AI.  At MemVerge Inc., Jiang led the development of Memory Machine Cloud, an AI and Cloud Computing platform optimized for life sciences. Prior to MemVerge, he worked in Big Data, virtualization, and internetworking at VMware, EMC, and Cisco Systems.  He also founded several software startups in eCommerce and TravelTech.  Jiang received his MS in Information Systems from New York University, and BS (summa cum laude) in Interdisciplinary Engineering from Cooper Union.

• Preface.- Chapter 1: The complexity and diversity of life science.- Chapter 2: Cloud Computing Democratizes High-Performance Computing for All.- Chapter 3: The generative AI brought new opportunities in Life.- Chapter 4: Case studies.- Chapter 5: Technical Challenges.- Chapter 6: Cost and Resource Management.- Chapter 7: Privacy, Confidentiality, Security and Compliance.- Chapter 8: Business Impact.- Chapter 9: Technological advancements on the horizon.- Chapter 10: Toward the Ideal Cloud/AI Platform.- Chapter 11: The Next Frontier in Life Sciences: A Call to Action.- Appendices.