nucleic acids & proteins
VECTORS
creation of bacterial, viral and retroviral constructs, transfection and transformation, construct purification and concentration, using vectors for cell line construction and testing
SCREENING & QUANTIFICATION
multiplex & high-throughput screening/assays, dye-terminator sequencing, western blotting & immunoprecipitation, PCR, RT-PCR, qPCR, RT-qPCR, SDS-PAGE & agarose gel electrophoresis, ELISA & ELISPOT, spectrophotometry / spectroscopy (UV-Vis, NMR, SPR/Biacore), flow cytometry (FACS), gDNA isolation and preparation for whole genome sequencing (WGS), as well as more advanced multiplexed screening techniques using Illumina systems and other manufacturers, primer design.
cell culture
PRIMARY CULTURES & IMMORTALIZED LINES
bacterial, murine, human and monkey cultures, 2D & 3D culture techniques, stem cell differentiation to neural progenitors (embryoid body & monolayer), cardiomyocytes, fibroblasts, vascular smooth muscle cells (VSMCs), self teaching new protocols for differentiation and characterization. Assays for testing effectiveness of differentiation as well as pluripotency assays.
CRISPR-Cas9 systems, lipofectamime transfection, electroporation, lentiviral constructs, FACS purification, clonalization, expansion, and QC of novel cell lines. Complex assay development for cell line characterization.
hybridoma creation, T-cell cloning, T-cell polarization, phages/phage display & liposomes, antigen screening (3H-T pulsing), flow cytometry (FACS), mini/midi/maxipreps (Qiagen), phage display / phage screening
animal models
ANIMAL HUSBANDRY
genotyping & colony maintenance, transgenic animal creation, knockout/knock-in & conditional knockout
PROTOCOLS
[immunology & developmental neurology] priming, mAb studies, adoptive transfer, IP, lymph node & tail vein injections, EAE modeling & scoring, in-utero electroporation, cre system
TISSUE PREPARATION AND STUDIES
perfusion, dissection & tissue collection, OCT, paraffin, & agarose embedding, sectioning & histology, H&E, hoechst, lacZ, ICS, HRP, in-situ, immunostaining/immunofluorescence, excellent microscopy skills
data analysis
DATA SCIENCE AND MACHINE LEARNING
supervised learning (linear and logistic regressions, decision trees, support vector machines (SVM)) & unsupervised learning (k-means clustering, principal component analysis (PCA))
experience using random forest, data mining, neural networks, ensemble classifiers / context-dependent classification
descriptive analytics, predictive analytics, prescriptive analytics