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The workshop on Designing and Engineering of Artificial Microbial Consortia (AMC) for Bioprocess: Application Approaches aims to provide a comprehensive understanding of the principles and techniques involved in constructing and optimizing artificial microbial consortia for bioprocessing applications. Participants will delve into the intricate world of microbial interactions, exploring design strategies, and engineering approaches to tailor microbial communities for specific biotechnological tasks. The workshop will cover diverse applications, ranging from environmental remediation to biofuel production.Through a combination of lectures, case studies for sustainable bioproduction.
The aim of the workshop on Designing and Engineering of Artificial Microbial Consortia (AMC) for Bioprocess: Application Approaches is to equip participants with a comprehensive understanding of the principles and methodologies involved in the design and optimization of artificial microbial consortia for diverse bioprocessing applications. The workshop seeks to foster expertise in the manipulation of microbial communities through engineering strategies, enabling participants to apply this knowledge to address real-world challenges in fields such as environmental remediation, biofuel production, and other biotechnological processes. Through a combination of theoretical knowledge, the workshop aims to empower participants to contribute to the advancement of sustainable bioproduction by effectively designing and engineering artificial microbial consortia tailored to specific application needs.
Module 1: Concept, designing and engineering of AMC for industrial bioprocesses
Module 2: Parameter optimization, volumetric expansion and product yields for AMC based bioproduction of high value platform chemicals from wastes
Module 3: Challenges with designing of individual pure cultures, mutual medium and scale up processes
Standard Fee: INR 3,998 USD 100
Discounted Fee: INR 1999 USD 50
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It will be helpful to add some hands-on practice and video aid to clarify the idea better
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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