Dr. Itakura's research focuses on developing methods for integrative analysis of multi-scale cancer data to improve patient outcomes. She uses machine learning and radiogenomic approaches to accelerate discoveries in cancer diagnostics and therapeutics.
Home Department: Biology
Faculty Advisor: Shripad Tuljapurkar
Talk Title: Dynamic enamine-one bonds enabled sustainable polymeric materials
Event: 58th Meeting of the Association for Tropical Biology and Conservation (ATBC)
Home Department: Mechanical Engineering
Faculty Advisor: Manu Prakash
Talk Title: Mosquitoes Meet Microfluidics - High-throughput Microfluidic Tools to Study Field Ecology of Insect-Borne Infectious Diseases
Event: American Society for Tropical Medicine and Hygiene - 62nd Annual Meeting
Awarded in 2021
Home Department: Chemistry
Faculty Advisors: Possu Huang (Bioengineering), Edgar Engleman (Pathology and Medicine—Immunology & Rheumatology), and Danny Chou (Pediatrics—Endocrinology & Diabetes)
Understanding mechanisms of metabolic regulation in physiology and disease forms the basis for developing therapies to treat diseases in which metabolism is perturbed. Dr. Haopeng Xiao devises novel mass spectrometry (MS)-based proteomics technologies, combined with data science, to systematically discover mechanisms of metabolic regulation over protein function. His strategies established the first tissue-specific landscape of protein cysteine redox regulation during aging, elucidating mechanisms of redox signaling in physiology that remained elusive for decades. Dr.
