Cell biologist studying how cells perceive their environments and respond with discrete behaviors. Interests include pharmacology, automated quantitative image analysis, teaching, and mentoring.
Our cells have have a limited number of tools to sense their environment, but they have to be capable of responding to a practically unlimited number of environmental signals. I study how cells decode different signals acting on the same machinery to produce distinct behaviors. Currently, I use the convergent signaling molecule cyclic AMP to study this, but in the past I have also used G protein-coupled receptors.
Research & Work Experiences
- Synthetic biology approaches to sensing and manipulating cell signaling
- Developed technique for measuring GPCR exocytosis using live cell microscopy, and automated image analysis with machine learning deployed in MATLAB and Python.
- Collected live cell imaging data for 2 collaborators, and trained a collaborator to perform microscopy experiments
- Significant mentorship of 5 PhD, 1 Masters, and 3 Undergraduate students
- Demonstrated that opioid receptors signal from endocytic domains after activation using total internal fluorescence microscopy, fluorescent biosensors, automated image analysis in ImageJ and MATLAB, and immunoblotting
- Discovered distinct protein mediators of adrenergic receptor endocytosis and signaling
- Tech support generalist – Hardware, Networking, macOS, Windows, and Linux
- Provided excellent customer service as recognized by peer bonus system 40 times
- Operations rotation with corporate infrastructure SRE – automated server provisioning, maintenance, and monitoring using shell scripting, Python, and Ganeti
- Communicated technical issues throughout the support organization through drafting and editing of regular newsletter and technical explainers