M.S., Electrical Engineering, Stony Brook University, 2015
B.E., Computer Engineering & Applied Mathematics and Statistics, Stony Brook University, 2013
6th Year MSTP
4th Year Grad Student
Anissa Abi-Dargham, Psychiatry
Broadly, I am interested in applying quantitative techniques to reveal mechanisms underlying neurological and psychiatric disease (e.g. epilepsy, anxiety, and depression), as well as develop and evaluate modes of treatment. I am specifically interested in using electrophysiological and neuroimaging techniques (EEG, fMRI, PET, DTI, etc.), as well as novel forms of their combined analysis, to study human populations. Previously, I worked to develop mathematical models of optogenetic modulators and sensors (e.g. Channelrhosopsin-2) to study the ionic mechanisms underlying their use in humans by analyzing computational simulations of their integration with cardiomyocytes and neurons.
Klimas A, Ambrosi CM, Yu J, Williams JC, Bien H, Entcheva E. (2016). OptoDyCE as an Automated System for High-Throughput All-Optical Dynamic Cardiac Electrophysiology. Nature Communications. 7:11542 doi: 10.1038/ncomms11542.
Williams JC and Entcheva E. (2015). Optogenetic vs. Electrical Stimulation of Human Cardiomyocytes: Modeling Insights. Biophysical Journal. 2015 Apr 21;108(8):1934-45. doi:10.1016/j.bpj.2015.03.032. PMID: 25902433; PMCID: PMC4407252.
Entcheva E and Williams JC. (2014). Channelrhodopsin2 Current During the Action Potential: "Optical AP Clamp" and Approximation. Scientific Reports. 2014 Jul 25;4:5838. doi:10.1038/srep05838. PMID: 25060859.
Williams JC, Xu J, LuZ, Klimas A, Chen X, Ambrosi CM, Cohen IS, and Entcheva E. (2013). Computational optogenetics: empirically-derived voltage- and light-sensitive channelrhodopsin-2 model. PloS Computational Biology. 2013;9(9):e1003220. doi:10.1371/journal.pcbi. 1003220. Epub 2013 Sep 12. PMID: 24068903; PMCID: PMC3772068.
Boyle PM, Williams JC, Ambrosi CM, Entcheva E, and Trayanova NA. (2013). A comprehensive multiscale framework for simulating optogenetics in the heart. Nature Communications. 2013;4:2370. doi: 10.1038/ncomms3370. PMID: 23982300; PMCID: PMC3838435.