Siddharth Shukla, PhD
About Siddharth Shukla, PhD
Siddharth Shukla, PhD, is a Senior Scientist at Alltrna in Cambridge, Massachusetts, with extensive experience in molecular and cellular biology. He has authored eight peer-reviewed publications and co-invented three patents related to RNA biology.
Current Position at Alltrna
Siddharth Shukla serves as a Senior Scientist at Alltrna, a role he has held since 2021. Based in Cambridge, Massachusetts, he contributes to the company's research initiatives focused on RNA biology and drug discovery. His experience in molecular biology and biochemistry supports the development of innovative solutions targeting human diseases.
Previous Experience at University of Colorado Boulder
Siddharth Shukla worked at the University of Colorado Boulder in various capacities. He was a Postdoctoral Fellow from 2017 to 2021, where he conducted advanced research in molecular and cellular biology. Prior to that, he served as a Research Assistant from 2012 to 2016, contributing to significant projects in the field.
Educational Background
Siddharth Shukla holds a Doctor of Philosophy (PhD) in Biochemistry from the University of Colorado at Boulder, completed between 2012 and 2016. He also earned a PhD in Molecular & Cellular Biology from the University of Arizona, where he studied from 2011 to 2012. Additionally, he obtained an Integrated Master of Science in Chemistry from the Indian Institute of Technology, Bombay, from 2006 to 2011.
Research Contributions and Publications
Siddharth Shukla has authored eight peer-reviewed publications in high-impact journals, reflecting his contributions to the field of RNA biology. He is also a co-inventor on three patents related to RNA biology, demonstrating his innovative approach to research and development.
Skills and Techniques
Siddharth Shukla possesses a wide range of research skills, including expertise in RNA purification, NGS RNA-Seq, and CRISPR-Cas9 editing. He is experienced in various microscopy techniques, cell biology methods, and biochemistry techniques. His strong data analysis skills include proficiency in bioinformatics and programming languages such as Python and R.