Amina’s research focuses on the development of new computational methods and experimental analyses in order to uncover design principles of human cells during growth and regeneration. The Qutub Lab uses fundamental knowledge gained by understanding cellular communication to transform the treatment of hematological cancers and neurovascular diseases.
program affiliations: Brain Health, Regenerative Medicine, UTSA/UT-Health Sciences BME Program
Research Scientist & Instructor
Byron Long’s doctoral research was in logic for programs that use dynamic memory. Byron built on his training in logic to develop innovative state machine models of endothelial cells and a modeling framework for testing biological hypotheses. He combines these approaches with novel image-analysis programs to study how human cells form tissues, and predictive algorithms to interpret how molecular and cell-level changes influence daily behaviors at a systems level.
Awards: Computational Cancer Biology Training Fellow
George Britton is a PhD student in Rice’s Systems, Synthetic and Physical Biology Program. His project focuses on uncovering the mechanisms underlying human embyronic cell development into neural tissue. George is jointly advised by our collaborator Aryeh Warmflash, a stem cell biologist in Rice’s Biochemistry and Cell Biology Department.
BS: Neurobiology, UT-Austin
Masters: Biochemistry, UT-Health Sciences
Projects: Ectoderm modeling, analysis of neural lineage
Haydon Lynch is a Master's student in UTSA's Department of Biomedical Engineering. His project focuses on the design of novel computational models to simulate the growth and function of developing human neural networks. Haydon joined the Qutub Lab in Fall 2018, with research experience in artificial neural network modeling and signal processing. Haydon's Master's thesis is supported by a U.S. Airforce award.
BS: Electrical Engineering, Georgia Southern University
Projects: Quantu, neural network modeling
Zacharie Maloney is a PhD student in UTSA's Department of Biomedical Engineering and the Joint UTSA/UTHSC Graduate Group in Biomedical Engineering. Integrating new modeling and experimental methods, Zach's project focuses on characterizing cellular and proteomic processes underlying changes in daily behaviors indicative of brain health. Joining the Qutub Lab in Fall 2019, Zach brings experience in biomedical engineering, systems biology, software engineering and financial modeling.
BS: Biomedical Engineering, Illinois Institute of Technology
Projects: Neural network modeling & experiments, Quantu
Erin Pollet is a PhD student in UTSA's Department of Biomedical Engineering and the Joint UTSA/UTHSC Graduate Group in Biomedical Engineering. Her project focuses on uncovering neural and neurovascular mechanisms underlying changes in sleep and other daily behaviors using integrated modeling and experimental approaches. Joining the Qutub Lab in Fall 2018, Erin brings 10 years of clinical sleep experience as a registered polysomnographic technologist to her research project.
Elif is a PhD candidate in bioengineering at Canakkale Onsekiz Mart University. While visiting in the Qutub lab as part of her thesis work, she is developing a computational model of nanoparticle-encapsulated delivery of bioactive flavanoids (anthocyanins) through the blood-brain barrier and anthocyanin uptake as a potential novel treatment of brain cancer.
BS: Bioengineering, Ege U.
Masters: Bioengineering, Ege U.
Ash is a biomedical engineering undergraduate student applying computational and experimental methods to understand the development of neural networks.
Allie is a biomedical engineering undergraduate student who joined the Qutub Lab in 2019 as lab manager.
Qutub Lab Graduates, 2017-2019
Thesis: Network Analysis of Developing Neural Progenitor Cells
Awards: NSF Neuroengineering IGERT Fellow; Ideas that Go Viral Speaker; Bioengineering Department Travel Award, 2015; Outstanding Student Poster Award GEM4 Mechanobiology of the Brain Workshop, 2015; IBB Travel Award, 2017; Screech People’s Choice Award, 2017; Bioengineering Innovation Day Research Pitch Award Winner, 2017; 3-Min Thesis Overall Winner & Alumni Choice Winner, 2018
Project: Design of image-based and machine learning methods for multicellular and intracellular analysis
Awards: Distinction in Research & Creative Works, 2018
email: BS: Bioengineering, 2018
Carnegie Mellon University
Chenyue Wendy Hu
Thesis: Data-Driven Discovery of Proteomic Hallmarks in Acute Myeloid Leukemia
Awards: NHGRI Travel Award for Genomics & Personalized Medicine 2016; HHMI Med-Into-Grad Fellowship; Texas Life Science Forum Presenter; DREAM 8 SubChallenge Winner; Texata Big Data Semi-Finalist; IGNITE Entrepreneurship Conference, Invited Participant; OwlSpark Summer Accelerator; IBB Travel Award (2014, 2016); Bioengineering Department Travel Award, 2015; Gold Medal, iGEM; 1st Prize, China’s National Undergraduate Mathematical Contest in Modeling; Bioinformatics Peer Prize Award, 2017; Best Thesis in Bioinformatics, 2018
email: PhD: Bioengineering, 2018
Data Scientist, Uber Technologies
Project: Tools to interpret protein signatures in cancer and model neural stem cell development
Awards: National Science Foundation summer fellowship, National Science Foundation Graduate Fellowship, 2019
email: BS: Chemistry, 2018
University of California, Berkeley
Thesis: Improved Methods for Constraint Based Modeling of Mammalian Systems
Awards:BMC Systems Biology Top 5 paper, 2015; NSF Travel Award, Pan American Advanced Studies Institute; Outstanding Bioengineering Graduate Teaching Assistant; Duke TIP Teaching Summer Internship; Jeffrey Michel Innovations in Systems Biology Dissertation Award, 2016
email: PhD: Bioengineering, 2017
Stanford University, School of Medicine
Project: Design and experimental testing of methods to predict leukemia patient outcomes
Awards: Computational Cancer Biology Summer Research Fellowship, 2017; National Science Foundation Graduate Fellowship, 2017
email: BS: Bioengineering, 2017
Harvard / MIT HST Program
Project: Crosstalk between insulin and hypoxic response pathways in glioma progression
Awards: Computational Cancer Biology Summer Research Fellowship, 2016