Hometown: Edina, MN
In 2011, Bill joined at the Brent lab, where he began work on physical and computational approaches to the study of cell signaling. He has contributed to continual improvements in microscopy, data analysis and modeling, and understanding of the structure of cell signaling systems. In late 2015, he began to explore independently the burgeoning world of machine learning, and since 2017 has been helping produce interpretable deep learning models for addressing biological questions.
Lifelong innovator, engineer, entrepreneur. Visiting Scientist at Brent Lab. Ex-Microsoft, Expedia, and AR/VR Pioneer @ 8ninths. Emmy Winner.
Steve Andrews, an affiliate, is a computational biophysicist. He is best known for his ongoing contributions to spatially accurate simulations of the chemical reactions that animate living cells. Much of these contributions are through his work since 2005 on the program Smolydyn, a spatially accurate stochastic simulator that uses Smoluchowski diffusion dynamics to calculate collisions between cellular macromolecules and their reactions arising from these. Steve's simulation work has introduced better means to model reactions involving of macromolecules that are filaments, including nucleic acid polymers, actin filaments, and microtubules. His most recent work in the lab addresses the precision with which individual yeast cells can transmit carry information about differences in extracellular ligand concentration in the Pheromone Response System signal.
Hometown: Seattle, WA
Karrington Ogans is a post-bacc in computational biology. She is from Seattle. In 2018 she graduated from Gonzaga University with a BA in Mathematics. Her coursework at Gonzaga included calculus, linear algebra, statistics, number theory, ODEs, PDEs, and some physics. While in university, she spent two summers as a school teacher at Franklin and Cleveland High School for incoming freshman, and tutored Gonzaga students in math and science.
At Fred Hutch, she learned Python via online courses and direct teaching within the lab. She is now participating in an early stage project to probe, via better design and by empirical experimentation, how deep neural networks make the decisions they do. Better understanding decisionmaking by trained networks would have positive consequences, including the possibility that such insight might aid biologists in generating testable hypotheses. Karrington aspires to use her education and future work to make a difference to future students.
Hometown: Los Angeles, CA
Michael Bremer is an undergraduate student at Seattle University working towards a BS in Physics with minors in Electrical Engineering and Mechanical Engineering. Michael has research experience looking at the instrumentation for precise microscale force measurements of the Columbic and Casimir interactions as well as modeling hydrodynamic simulations of the WLM dIrr galaxy and associated globular cluster to investigate currently unanswered problems within the formation of globular clusters. Outside of the lab Michael enjoys running, reading, doing yoga, and cooking among other things. Michael is excited to contribute to the projects going on at the Brent Lab.
Hometown: Auburn, WA
Emma Zucati is an undergraduate student at Seattle University working towards a BS in Computer Science. At school, she tutors computer science students and is active in the ACM chapter, serving as President her junior year.
With Brent Lab, Emma is a work study student that works to develop supporting software and content to enable Augmented Reality guidance for lab procedures. She’s currently working on image acquisition, annotation, and curation. She is excited to contribute to this important work.
Hometown: Seattle, WA
John Munar is an undergraduate at Seattle University working towards a BS in Computer Science with a minor in math. He is an active member and mentor of the Computer Science club and has studied full stack web development and game engine system architecture over the summer. He currently has an interest in software engineering and machine learning. In the lab, John is working with computer vision and machine learning tools and is applying it to ongoing projects. In the future, he hopes to be at the forefront of the development of emerging technologies.
Kohtaro is a postdoctoral researcher interested in gene regulation and developmental genetics. He received his PhD from University of Washington. His previous research used closely related specie of fruit flies to investigate the genetic basis of evolutionary differences. In Artyom Kopp’s lab at UC Davis, he examined how male-specific traits develop and evolve. He also studied how cis-regulatory sequences evolve to drive gene expression differences between species. This work was conducted in Elio Sucena’s lab at Gulbenkian Science Institute (Portugal). In the Brent lab, he is developing a tunable inducible expression system in mammalian cells.
Hometown: Bellevue, WA
Candace Warner is a computational intern on the procedural guidance project in Dr. Brent's lab. She lives in Bellevue, WA and is a rising junior at Newport High School. Her long-term goals include planning to enter undergraduate and graduate study in public healthcare policy.
Hometown: Windham, NY
Gaea Turman is a post-bacc in molecular biology. She graduated with a BS in Biology and minors in Computer Science and Chemistry from Western Washington University in 2019. While completing her bachelors, she contributed to research involving gene expression dynamics in yeast and the effect of chromatin state on CRISPR-Cas9 gRNA targeting in Dr. Dan Pollard’s lab.
Her current work involves assisting in development of a tunable expression system in mammalian cells. She also functions as lab manager of the Brent lab.
Hometown: Chennai, India
Shwetha Sanapoori graduated from the University of Washington with a B.S. in Biochemistry and double minored in Chemistry and Bioethics in 2019 & Humanities and is currently a graduate student at UW Seattle. She is currently pursuing her MPH at the University of Washington, Seattle studying Global Health Metrics & Evaluation and hopes to attend medical school post-graduation. Her long term career goal is to work at the intersection of public health, technology and medicine. At the Brent Lab, Shwetha is working on the labs augmented reality project involving the detection protocol for COVID-19 using Real-Time RT PCR.
Hometown: Destin, FL
Randy Henne received a BS in Chemistry (1987) and an MS in Computer Science (1989) from Florida State University.
Randy spent the next two years developing animation software for the Sony/Philips CD-I joint venture. In 1991, Randy joined the John Hines lab at NASA Ames Research Center where he focused on data collection systems for biological experiments in space. It was in this lab that Randy not only gained increased enthusiasm for space exploration but also about Bioengineering.
He returned to school at University of Washington where he earned an MS in Physical Chemistry (1997) and a PhD in Molecular Bioengineering (1999). His graduate work focused on the protein structure of G-protein couple receptors, large lipid bilayer simulations, and machine learning methods for predicting protein/small molecule interactions.
At ZymoGenetics, he worked on gene discovery and protein function prediction. Later at CombiChem and Dupont Pharmaceuticals he worked on machine learning and combinatorial chemistry approaches to small molecule drug discovery.
In 2003, Randy moved from science back to the tech industry. At Amazon.com, he worked on product recommendation and personalization algorithms. In 2006, he moved to Microsoft where he co-founded ExP, an industry leading platform for Controlled Experiments applied to Software Development.
In 2020, Randy retired from Microsoft and joined the Brent lab as a Visiting Scientist.