Developed Python, Matlab, and C++ code to support real-time 3D stereoscopic visual experiments on depth perception and motion parallax. Employed OpenGL and virtual reality (VR) APIs to create flexible and extensible infrastructure for scientific visual stimuli. Techniques: Python, Matlab, and C++, OpenGL, Vizard, VRJuggler, real-time programming, synchronized 3D stereo video.
Coordinated medical research (as independent contractor) funded by Codman: retrospective study of neurosurgical patients treated for normal pressure hydrocephalus with ventriculo-peritoneal shunt. Performed population statistics on subject pool and regression analysis to uncover correlations between MRI features and clinical outcome measures. Techniques: linear regression, Pearson correlation, statistical analysis, CT/MRI assessment, medical record review, hiring and personnel management, grant writing.
Developed trading strategy (as independent contractor) in high-frequency currency markets based on multivariate decomposition algorithm. Ran high-volume time-series analysis on minute-by-minute currency data from five major inter-traded markets (e.g., USD-JPY-EUR-GBP-AUD). Predicted currency fluctuations based on nonlinear signature and hidden linear relationships among currencies. Techniques: high-frequency quantitative analysis, financial trading models, programming in C#, Matlab.
Coordinated scientifically based safe and effective exercise routines to help clients reach fitness goals. Techniques: NASM Optimum Performance Training, Personal Fitness Profile/Workout, XpressLine, NYSC Foundations of Programs and Services.
Investigated cortico-hippocampal communication and memory consolidation. Established system for simultaneous two-photon laser scanning cortical fluoroscopy and hippocampal micro-electrode recording to probe neurons in vivo in mice. Performed Fourier analysis and pixel-based statistics on images and electrode recordings to recover cellular activity profile and examine correlations between fluoroscopic and electrical signals. Techniques: two-photon laser scanning microscopy, small animal surgery, in vivo fluorescent labeling, Fourier analysis, linear regression.
Characterized linear and nonlinear spatiotemporal dynamics of receptive fields in cat primary visual cortex (Ph.D. Thesis). Developed patented algorithm for decomposition of multivariate time series—analyzed dynamics in ictal EEG records. Techniques: nonlinear systems analysis, computational modeling, physiological preparation and maintenance in acute animal studies, tetrode electrophysiology, programming in Matlab, Delphi, OpenGL API, Windows API.
Assayed rostro-ventrolateral medullary neurons under hypoxic conditions in in vivo slice preps. Techniques: IR-DIC guided whole-cell patch clamping, vibratome tissue sectioning, retrograde labeling, single-cell RT-PCR.
Synthesized caged cyclodextrin molecule and its intermediaries (B.S. Thesis). Techniques: Grinard, redox, and Wittig reactions, NMR, IR, mass spectroscopy, TLC, HPLC.
Tutor high school and college students in chemistry, biology, physics, mathematics.
Investigated molecular pathways of Polycystic Kidney Disease gene (ADPKD1). Techniques: PCR, DNA purification and sequencing, Yeast Two-Hybrid System.
Intensive German language study taught exclusively in German.
Completed German as a foreign language Basic Levels 1/2 and Intermediate Levels 1/2 (European framework A1 A2 B1 B2 C1).
Instruction in scientifically based Optimum Performance Training™ methodology included musculoskeletal physiology, cardio-respiratory function, neuromuscular efficiency, biomechanics.
Emphasis on individualized assessment and program incorporating flexibility, cardio, core, balance, reactive, speed, agility, quickness, and strength training.
Instruction in basic cardio-pulmonary resusitation and automatic electronic defibrillator.
Lectures covered dendritic morphology, electrophysiology, calcium imaging, genetics.
Supported by institutional Kirschstein-NRSA vision research training grant.
Courses included mathematical structures in neuroscience, mathematical aspects of neurophysiology, visual motion, integrative neuroscience, ion channels.
Lectures and lab work covered multivariate data analysis and statistics, probability density estimation and modeling, spectral analysis, stochastic processes.
Majored in chemistry, honors thesis in organic chemistry, concentration in psychology.
Graduated cum laude, Dean's List 5/7 semesters, GPA 3.6.
All classes taught exclusively in French.
Courses covered French Art, Literature, History, and Phonetics.
Expert: Matlab, Python, Delphi, Windows OS, MS Office.
Proficient: C/C++/C#, PHP, JavaScript, Win32 API, OpenGL, (X)HTML, CSS, Linux OS.
Familiar: Macintosh OS, Java, XML.
Expert: Linear/Nonlinear Decomposition, Spectral/Fourier Analysis, Multivariate Regression.
Proficient: Modeling/Curve Fitting, Information Theory, Probability/Statistics.
Familiar: Graph Theory, Group Theory, Topology.
English (native), German (fluent), French (proficient), Spanish (basic).
