Data Scientist @ From November 2014 to Present (1 year 2 months) Data Science Fellow @ • Insight is a 7 week post-doctoral training fellowship bridging the gap between academia and data science • Built a web app that recommends walking tour routes based on Flickr photo meta information. • Retrieved, parsed, stored data using Python and MySQL. Deployed front-end using Google APIs, Flask, and AWS. From September 2014 to October 2014 (2 months) Postdoctoral Research Fellow @ • Developed novel, automated denoising algorithm for magnetoencephalography (MEG) measurements to study neural responses in human visual cortex (using PCA, GLM, and Fourier analysis). From September 2013 to August 2014 (1 year) PhD Student @ • Research used signal processing frameworks and computational analyses to explain sensory and cognitive processes (vision, eye movements, neural responses). • Designed, implemented, and executed experiments involving functional magnetic resonance imaging (fMRI), human behavior, eye tracking, and single-cell electrophysiology data sets. Developed custom software for data collection and analyses. • Techniques included: pattern classification, regression, Monte Carlo methods, constrained optimization, cross validation, model comparison, hypothesis testing, dimensionality reduction, generalized linear models, time-frequency analysis, deconvolution. From September 2008 to September 2013 (5 years 1 month) Graduate Teaching Assistant @ • Developed neuroscience course and lab material for undergraduates. Led laboratories, recitations, exam reviews, and one-on-one tutoring sessions. Graded homework and exams. • Courses taught: Natural Science II: Brain & Behavior; Behavioral & Integrative Neuroscience. From September 2011 to May 2012 (9 months) Research Assistant @ Implemented and performed numerical simulations of biophysical neural circuits and studied their nonlinear dynamics. From July 2007 to July 2008 (1 year 1 month) Saitama, JapanUndergraduate Research Assistant @ Researched preference-based decision making. Implemented and executed human psychophysical experiments and developed software for macaque psychophysics. From 2006 to May 2007 (1 year) Intern @ Implemented and evaluated noise-robust automatic speech recognition algorithms. From June 2005 to August 2005 (3 months) Kyoto, Japan

Doctor of Philosophy (Ph.D.), Neuroscience @ New York University From 2008 to 2013 Bachelor of Science (B.S.), Engineering & Applied Science (Computation & Neural Systems) @ California Institute of Technology From 2003 to 2007 Helena Wang is skilled in: Python, Statistics, Machine Learning, Algorithms, Matlab, fMRI, Neuroscience, Psychophysics, Data Analysis, Linear Algebra, Data Science, Experimental Design, Computational Modeling, Eye Tracking, Signal Processing