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Robin Dowell
Associate Professor at CU; Co-Founder at Arpeggio Biosciences
Professional Background
Robin Dowell is an accomplished computational biologist known for her innovative application of machine learning approaches, particularly probabilistic models, to tackle complex problems in genomics. With a deep commitment to advancing the field of genetics, Dr. Dowell's research laboratory at the University of Colorado at Boulder focuses on transcriptional regulation and exploration of non-coding transcripts. By leveraging cutting-edge nascent transcription assays alongside various high-throughput datasets, her research team infers the activities of transcription factors and the impact of non-coding genetic variations, illuminating how these critical elements influence cellular polymerase activity.
Dr. Dowell's impressive career trajectory includes roles that span academia and industry. She has previously served as a co-founder of Arpeggio Biosciences where she applied her academic prowess to a practical setting, bridging the gap between theoretical research and real-world applications. Before taking on her current role as an Associate Professor, she enriched the academic community as an Assistant Professor, contributing significantly to the understanding of computational biology and genetics.
Her postdoctoral training at the Massachusetts Institute of Technology (MIT) provided Dr. Dowell with robust foundational knowledge and experience, equipping her to lead her own lab and delve deeper into the genomic complexities of life. Furthermore, her early experiences as a graduate student at Washington University in St. Louis refined her research skills and solidified her dedication to the field.
Education and Achievements
Dr. Dowell's academic credentials lay the groundwork for her successful career in computational biology. She completed her Doctor of Science (D.Sc.) in Biomedical Engineering at Washington University in St. Louis, a prestigious institution known for its rigorous programs and cutting-edge research. Her foundational education began with a Bachelor of Science (B.S.) in Computer Engineering from Texas A&M University, where she honed her analytical and problem-solving skills, essential for her later pursuits in computational biology.
Throughout her career, Dr. Dowell has published numerous influential papers, contributing vital knowledge to fields such as transcription regulation, comparative genomics, and bioinformatics. Her innovative research not only enhances understanding but also paves the way for future exploration in the intricate dynamics of genetic regulation.
Achievements
Dr. Robin Dowell's contributions to the field of computational biology are profound. Her specialization in probabilistic modeling has enabled groundbreaking insights into how genetic factors influence cellular processes. She is recognized for her expertise in various domains such as aneuploidy, RNA secondary structure prediction, and transcription regulation. Each of these areas is critical for advancing our understanding of genetic expression and its implications for health and disease.
As a leader in her field, Dr. Dowell actively participates in collaborative research, mentoring the next generation of scientists while promoting the integration of computational and experimental approaches to genomics. Her commitment to education and innovation not only shapes her research but also inspires her students and colleagues alike.
In addition to her academic electiveness, Dr. Dowell has been involved with multiple organizations and initiatives that further the impact of computational biology across the scientific community. By serving in various capacities, she fosters collaborative efforts that lead to advancements in technology and knowledge within the realms of genetics and bioinformatics.