Research.
My research experiences in biotechnology have comprised extensive projects in neuromodulation, applied microbioengineering, and bioinformatics. Together, they have culminated in my acquisition of refined wet and dry laboratory research skillsets that I have applied in diverse settings. These projects were undertaken within NYU’s vast network of healthcare, research, and academic institutions, and have resulted in my completion of advanced coursework towards my degrees, optional senior thesis research, and two summer internships.
Each icon brings you to the respective project page.
BS/MS Thesis
Machine-Learning Enhanced Neuropace:
Developing a Clinical Decision Response System for Refractory Epilepsy Treatment
Summer Research
Applied Micro-Bioengineering:
Mechanical Force Regulation of Asymmetric Vascular Cell Alignment,
T-Cell Mechanoimmunology
Sequencing Projects
Coursework in Bioinformatics
Whole-Genome Sequencing, Small RNA Sequencing
Through my career in biotechnology, I have developed a diverse set of competencies in various technologies. These skills were honed through professional development opportunities, coursework, and independent research. I have gained expertise in molecular biology techniques, genetic sequencing, bioinformatics, data analysis and visualization, and programming languages such as Python and R. The following highlights my experience and achievements in these areas.
Technologies and Competencies
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Sequencing Tools
Illumina Sequence Hub
iSeq 100 System
Nextera XT DNA Library Prep. Kit
Quality Control and Analysis
FASTQ Toolkit
FastQC (Fast Quality Control)
IGV (Integrative Genomics Viewer)
BLAST (Basic Local Alignment Search Tool)
BAP (Bacterial Analysis Pipeline)
E. coli Serotyping
Kraken2 Metagenomics
Data Management
LRM (Local Run Manager)
Velvet de novo Assembly
BWA (Burrows-Wheeler Aligner)
BaseSpace smallRNA Application
RCSB Protein Data Bank
miRBase: MicroRNA Database
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Coding Languages
Java
Python
MATLAB
Statistical Softwares
R
Stata
Image Processing Softwares
ImageJ
Cellogram
Artificial Intelligence Programs
ChatGPT
Dall-E-2
Deep Dream Generator
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Graphic Design
Tableau
Adobe Illustrator
Adobe Photoshop
Web Development
Webflow Website Builder
Squarespace Website Builder
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PubMed
Embase
Scopus
ScienceDirect
Research and Laboratory Skills and Techniques
I have developed a broad range of laboratory and research skills throughout my academic and professional pursuits. My expertise spans molecular biology, cellular biology, genetics, bioinformatics, analytical chemistry, and project execution. While this list encompasses the majority of my skills, it is not exhaustive, as I continuously seek out new opportunities to expand my knowledge and abilities.
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Wet Lab Techniques
Chromatography Techniques: Using assorted methods for protein isolation (see Chromatography and Distillation)
Nucleic Acid Isolation and Purification: Using commercial kits and traditional methods to obtain DNA and RNA from various sources and prepare samples for research use
2D–PAGE (Polyacrylamide Gel Electrophoresis): Two-dimensional separation and analysis of nucleic acids and proteins by size and charge
SDS-PAGE: Separating proteins based on their size and charge by using a polyacrylamide gel following denaturation with sodium dodecyl sulfate
qPCR Assay: Detecting and measuring the amount of a specific nucleic acid sequence in a sample to quantify gene expression levels in cells or detect genetic mutations
Western Blotting: Protein detection and analysis technique using antibodies to probe for specific proteins on a membrane after separation by gel electrophoresis
Northern Blotting: RNA detection and analysis technique using labeled, complementary RNA-probes to identify specific sequences on a membrane after separation by gel electrophoresis
Southern Blotting: DNA detection and analysis technique using labeled, complementary DNA-probes to identify specific sequences on a membrane after separation by gel electrophoresis
ELISA (Enzyme-Linked Immunosorbent Assay): Detection and quantification of specific proteins or antibodies
Fluorescence Resonance Energy Transfer (FRET) Assay: Studying protein-protein interactions and conformational changes within proteins by measuring energy transfer between fluorescent molecules
Dry Lab Techniques
Analysis of Protein Properties: Utilizing separation techniques and western blotting to infer characteristics such as size, charge density, and conformation
Analysis of Nucleic Acid Properties: Utilizing separation techniques such as gel electrophoresis and hybridization to infer characteristics such as size, sequence, and abundance.
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Wet Lab Skills:
DNA and RNA Extraction and Purification: Extraction and purification of nucleic acids from various sources for sequencing, PCR, or other downstream applications
Library Preparation: Preparation of genomic or transcriptomic libraries for sequencing using various library preparation methods, such as PCR amplification, ligation-based methods, and tagmentation
Sequencing: Use of commercial or industry-standard sequencing technologies to sequence DNA and RNA
Sequence Alignment: Alignment of DNA or RNA sequencing reads to a reference genome or transcriptome to identify variants and determine expression levels
Variant Calling: Identification of variants, such as single nucleotide polymorphisms (SNPs) and insertions/deletions (indels), using sequencing data and bioinformatics tools
Dry Lab Skills:
Data Management: Handling and organizing large volumes of sequencing data, including storage, backup, and retrieval
Bioinformatics Tools: Knowledge and proficiency in using various bioinformatics tools and software packages for sequence analysis
Quality Control: Using various metrics, such as sequencing depth, read quality, and alignment statistics to assess quality control of sequencing data results
Phylogenetic Analysis: Determining of evolutionary relationships between different organisms or populations based on DNA or RNA sequences using various phylogenetic methods
Annotation: Annotation of genomic features, such as gene models and regulatory elements, using bioinformatics tools and databases
Genomic Data Visualization: Visualization of sequencing data and assembly of genome sequences using common software packages
Metagenomics: Analysis of microbial communities using genomic data from sequenced samples
Machine Learning: Knowledge and proficiency in machine learning techniques for bioinformatics data analysis, such as clustering and classification
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Wet Lab Techniques:
Mammalian Cell Cultures: Isolation, preparation, maintenance, and cryopreservation of mammalian cells for research use
Bacterial Cultures: Growth and maintenance of bacterial cells for research use
Real-Time Apoptosis Fluorescence Microscopy: Visualization and analysis of apoptosis in mammalian cells using fluorescent probes
Chemotaxis Assay: Quantitative assessment of directional cell movement in response to chemical gradients
Flow Cytometry: Separation and analysis of individual cells based on their physical and chemical properties
Confocal Microscopy: Imaging and analyzing the spatial distribution of proteins and other molecules within cells
Immunofluorescence Staining: Visualization and localization of specific proteins or antigens in cells or tissues using fluorescent antibodies
MTT Assay: Colorimetric assay used to measure cell viability, proliferation, and cytotoxicity
Dry Lab Techniques:
Data Analysis and Statistical Methods for Cell Culture Assays: Analyzing and interpreting data generated from cell-based assays using statistical methods and software.
Literature Review and Assay Optimization: Reviewing relevant literature and optimizing protocols for cell-based assays
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Wet Lab Skills:
Organic Synthesis and Purification: Executing multistep reactions and utilizing techniques such as column chromatography, recrystallization, and distillation for purification.
Inorganic Compound Preparation: Precipitation reactions, acid-base titrations, and redox reactions are employed for preparation.
Physical Property Analysis: Determining melting and boiling points, conductivity, and solubility of inorganic and organic compounds
Aqueous Solution Analysis: Determining pH, buffer capacity, and acid-base equilibria in aqueous solutions using assorted potentiometry and spectroscopy techniques
Dry Lab Skills:
Spectroscopy Analysis and Characterization: Using assorted spectroscopy techniques (UV-Vis, IR, NMR) to identify the structure of organic molecules
Reaction Visualization: Construction and analysis of reaction mechanisms using software such as ChemDraw and MarvinSketch
Spectroscopy Techniques:
UV-Vis Spectrophotometry: Determining nucleic acid and protein concentrations using absorbance readings
Fourier-Transform Infrared (FTIR) Spectroscopy: Determining chemical bonds in a sample
Nuclear Magnetic Resonance (NMR) Spectroscopy: Analyzing the structure and properties of molecules
Fluorescence Spectroscopy: Analyzing fluorescent properties of a sample
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Chromatography Techniques:
Column Chromatography: Separation and analysis of compounds using a stationary phase within a column based on retention in the stationary phase
Gas Chromatography (GC): Separation and analysis of volatile compounds based on boiling point, polarity, and molecular weight
Reverse-Phase Chromatography: Separation and analysis of molecules based on hydrophobicity
Size-Exclusion Chromatography (SEC): Separation and analysis of molecules based on size
Ion-Exchange Chromatography (IEC): Separation and analysis of molecules based on charge
Affinity Chromatography: Separation and analysis of molecules based on specific interactions
Immunoaffinity Chromatography: Separation and analysis of molecules based on specific antibody-antigen interactions
Paper Chromatography: Separation and analysis of compounds using a paper matrix as the stationary phase
Thin-Layer Chromatography (TLC): Separation and analysis of compounds using a stationary phase on a flat surface.
Distillation Techniques:
Simple Distillation: Separation of liquids with different boiling points by heating and condensing the vapor.
Steam Distillation: Separation of volatile organic compounds from non-volatile compounds by passing steam through the mixture
Fractional Distillation: Separation of liquids with similar boiling points using a fractionating column for multiple distillations
Vacuum Distillation: Separation of high boiling point or sensitive compounds by lowering the pressure inside the system
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Wet Lab Skills:
Construction of Recombinant Plasmids: Using restriction enzymes and DNA ligase to combine DNA fragments for genetic engineering
Gel Extraction: Separation and purification of DNA fragments from a gel matrix after electrophoresis
PCR and qPCR: Amplification and quantification of nucleic acid fragments for further analysis or cloning
Reverse-Transcription PCR: Amplification of DNA fragments from RNA sequences for gene expression analysis
Affinity Purification of Recombinant Proteins: Isolation and purification of recombinant proteins using tags or antibodies for further analysis or downstream applications
Transfection and Gene Expression Assays: Introduction of foreign DNA or RNA into cells and measurement of resulting changes in gene expression for functional analysis or gene therapy
Bacterial Transformation and Electroporation: Introduction of recombinant plasmids into bacteria using heat shock and electric pulses, respectively, for gene expression
RNA Interference (RNAi): Down-regulation of gene expression in lower-level organisms using small RNA molecules.
Dry Lab Skills:
Plasmid Map Analysis: Designing and mapping recombinant plasmids for gene expression or gene editing in cells
Restriction Enzyme Selection: Analyzing DNA sequences and identify optimal restriction enzymes for specific molecular biology applications, such as cloning or genetic engineering
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Wet Lab Techniques:
Lab Safety: Proper handling and disposal of hazardous materials
Proper Sterility: Sterile technique for cell and bacterial cultures
Dry Lab Techniques:
Machine Learning Analysis: Utilizing artificial neural networks and support vector machines for large data analysis and clinical predictions
Patient Report Data Analysis: Sorting through patient report data en masse, including MRI, EEG, MEG, PET, and SPECT features
Large Dataset Management: Managing and manipulating large datasets using software such as R, Stata, Python, and MATLAB for data analysis and visualization
Statistical Model Development: Developing statistical models to analyze experimental data and predict outcomes