Born in Tehran, Iran, Hani Goodarzi pursued studies in data science and biotechnology at the University of Tehran, where he undertook and published research analyzing mathematical properties of the genetic code. His work – which combined meta-analysis and genetics – conceptualized new ways of understanding the evolution of coding DNA. Hani then received his Ph.D. under the mentorship of Saeed Tavazoie in Molecular Biology from Princeton University. As a graduate student, he generated the first map of regulatory perturbations across different human cancers, providing a systematic approach for understanding the cancer transcriptome.
Upon completing his graduate work, Goodarzi joined Sohail Tavazoie's Laboratory of Systems Cancer Biology at The Rockefeller University as a postdoctoral fellow. In the Tavazoie Lab, Hani focused on studying the molecular basis of cancer metastasis. With an interdisciplinary background in computational and experimental cancer biology, he implemented an approach to determine what causes cancer cells to metastasize. He developed an algorithm that identifies structural regulatory elements in RNA sequences that independently of their coding capacity also impact the RNA life-cycle through interactions with key regulators in the cell. Applying this computational platform to data collected from cells with differing metastatic propensities, he identified a novel regulatory pathway that contributes to breast cancer metastasis. More recently, he also played a pivotal role in discovering and characterizing a novel class of small regulatory RNAs known as tRNA-derived RNA fragments that play roles in cancer progression.
Today, Hani’s goal is to identify and characterize the regulatory networks that are co-opted by aggressive cancer cells. Cancer, fundamentally, is a disease of disordered gene expression. Cancer cells rely on deregulated expression of oncogenic and tumor suppressive pathways to initiate and maintain the transformation process. Thus, delineating how cancer cells achieve such pathologic gene expression states is a crucial step towards understanding and ultimately treating cancer as a disease. Towards achieving this goal, his laboratory employs a systems biological and multidisciplinary approach that integrates computational and experimental strategies to identify and characterize key regulatory programs that underlie cancer progression. The systems-level frameworks implemented in his lab ensures a truly unbiased and systematic approach to studying this key biological challenge. Such bottom-up and agnostic approaches are crucial for discovering pathways that fall outside of our prior knowledge of regulatory interactions and would otherwise remain hidden in a top-down reductionist framework.
Learn More @ [ Ссылка ]
_______________________
Join BIOS Community 🎉
Become a member, continue the conversation, connect with like-minded Life Science innovators, access exclusive resources, & invite-only events…
Apply to Join —[ Ссылка ]
For More Interesting Content 💭
🦾 Website: [ Ссылка ]
🧬 Podcast: [ Ссылка ]
🧪 Medium: [ Ссылка ]
🩺 Twitter: [ Ссылка ]
🦠 LinkedIn: [ Ссылка ]
🧠 Substack: [ Ссылка ]
_______________________
BIOS: Nucleus of Life Science Innovation 🚀
Alix Ventures: Driving Patient Impact - Supporting Early Stage Startups Engineering Biology to Create Radical Advances in Human Health🌟
_______________________
Alix Ventures, by way of BIOS Community, is providing this content for general information purposes only. Reference to any specific product or entity does not constitute an endorsement or recommendation by Alix Ventures, BIOS Community, or its affiliates. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent. Views and opinions expressed by Alix Ventures employees are those of the employees and do not necessarily reflect the view of Alix Ventures, BIOS Community, affiliates, and content sponsors.
