American Type Culture Collection (ATCC) Logo American Type Culture Collection (ATCC) Logo Cart 0
  • Order Status
  • Careers
  • Support

Episode 47: Rethinking Models—A Scientist’s Path to Organ-on-a-Chip Innovation

Featuring Dr. Carolina Lucchesi

 

Listen on Apple Podcasts button Listen on YoutUbe Music button Listen on Spotify button Listen on Pandora button

Show Notes:

What drives a scientist to rethink how we model human biology? In this episode, Dr. Carolina Lucchesi shares how her career evolved from animal-based research to pioneering work in organ-on-a-chip systems. She discusses the technical challenges she helped solve, the growing importance of microphysiological systems in drug discovery, and how ATCC is working to bring greater consistency and trust to these emerging models. The episode also highlights the role of diverse cell sources in building more representative and predictive research systems.

Guest:

Headshot of Carolina Lucchesi, PhD

Carolina Lucchesi, PhD

Principal Scientist, BioNexus, ATCC

Carolina Lucchesi is BioNexus Foundation Principal Scientist leading the Microphysiological Systems program at ATCC. Dr. Lucchesi received her PhD in Cellular and Molecular Biology from the University of Campinas in Brazil and has over 20 years of experience in Tissue Engineering and Organ-on-Chip technology. In her current role, Dr. Lucchesi leads the MPS program bringing new capabilities in the use of advanced 3D models and developing existing and new content to be applied in state-of-art technologies.

Host:

David Yarmosh, headshot.

David Yarmosh, MS

Lead Bioinformatician, ATCC

David Yarmosh is a lead bioinformatician in ATCC’s Sequencing and Bioinformatics Center. He’s a graduate of New York University’s Tandon School of Engineering. He has been working in large data aggregation and analysis since 2013 and microbial genomics with a focus on biosurveillance R&D efforts since 2016. David has led international training exercises in Peru and Senegal, sharing metagenomic analytical capabilities. His interests include genomics database construction, metadata collection, drug resistance mechanisms, bioinformatics standards, and machine learning. Since joining ATCC in 2020, David has worked extensively in SARS-CoV-2 classification, epidemiology, and genomics evaluation, including enhanced and uniform variant reporting. He has contributed more broadly to genomics reporting and analytical standardization and he has helped develop the podcast Behind the Biology, which he now hosts.