Biomedical engineering, research, bioinformatics
Resume:
Mikel Lipschitz
Allston, MA *****
E: acrqpc@r.postjobfree.com C: 954-***-****
Education
University of Florida Gainesville, Florida
Bachelor of Arts, Mathematics Awarded December 2007
• Recipient of the Florida Academic Scholars Award, a full scholarship awarded to high school students who demonstrate consistent academic excellence.
Boston University Boston, Massachusetts
Masters of Engineering, Biomedical Engineering Awarded May 2015
• Recipient of Half-Tuition Scholarship for LEAP Phase I and MEng courses.
• 3.89 GPA in graduate level coursework.
Areas of Interest
Medical Device Design, Bioinformatics, Biomaterials Applications and Design Experience
Systems Biology of Human Disease Boston, Massachusetts Teaching Assistant January 2015 – May 2015
• Project and extended homework assignment grading
• Office Hours: Instructed students on how to use GenePattern, GNEA, DAVID, GSEA, and WEKA appropriately in order to complete homeworks and projects. Instructed students on statistical and data structure methods in order to come to statistically relevant conclusions. Boston Medical Center Observership Boston, Massachusetts Team Leader September 2014 – May 2015
• Observed procedures in Radiology (Ultrasound-Guided Core Biopsy, Stereotactic Core Biopsy, Needle Localization), Pathology (Histological Analysis of Biopsy Samples), Electrophysiology (Pacemaker/ICD/CRT installation, SVT Ablation, Stereotactic Ablation, Lead Revision)
• Worked closely with Human Resources to gain access for myself and teammates to procedures and clinicians in Radiology and Electrophysiology Departments
• Strategically planned interviews and information sessions with various stakeholders
• Worked closely with clinicians to search for inadequacies in procedures and devices
• Analyzed procedure protocol and devices used
Boston University Ultrasound Ablation and Drug Delivery Lab Boston, Massachusetts Researcher May 2014 – December 2014
• Development of Lipid-Coated Nano-droplets for use in drug delivery and ablation: Examination of Physical and Chemical characteristics of different lipid combinations and liquid perfluorocarbons for cell uptake and droplet vaporization.
• Cell Culture techniques
• Analysis of droplet vaporization after endosomal uptake. Independent Contractor/Self-Employed San Francisco, CA/Plantation, FL/Boston, MA Private Tutor/Content Specialist December 2007 – September 2014
• Privately tutoring student at various high schools throughout the San Francisco/South Florida area
• Writing test questions for actual ACT Math exam
• Writing practice ACT, SAT, GMAT, GRE questions, quizzes, and exams for various test prep companies Projects
RAMOND: Real-time Ablation MONitering Device (Design and Development Team Project)
• Observed procedures and attended daily and/or weekly meetings in Boston Medical Centers Electrophysiology and Radiology departments.
• Analyzed patient/clinician needs through stakeholder interviews and procedure analysis in order to determine complete problem statement and potential solutions.
• Needs Screening and Solution Conceptualization: Analysis of Atrial Fibrillation and current treatments, analysis of current clinical and research based techniques for monitoring depth of ablation, market analysis, needs filtering.
• Device design: risk analysis, IP analysis, material analysis, performance specifications
• Device Prototyping: design review, design concept revision, functional specifications, design inputs, user requirements, risk assessment and FMEA, verification testing, regulatory analysis, materials and manufacturing protocol and analysis, sterilization analysis
Identification of New Potential Binding Sites for evgA on Escherichia Coli Using Machine Learning Methods
• Extracted genomic sequences of promoter regions with known evgA binding sites for positive control training data and randomly scrambled sequences for negative control training data. Discovered three potential motifs from positive control sequences using the MEME algorithm.
• Scanned positive and negative control sequences using ungapped 6mers and used number of occurrences as input for training set. Built a Support Vector Machine using a linear kernel and Fisher score for feature selection to identify potential binding sites, using significant regions from ChIP-Seq experiments as test data.
• Used the MAST algorithm in conjunction with previously identified motifs to add further significance to identified new potential binding regions.
• Overall, 26 new potential binding sites were identified. Urine Based Tuberculosis Detection Assay Technology/Venture Analysis (Team Project)
• Assessed viability of diagnostic for market: technology description and market translation, prior art analysis, potential markets and competitor analysis, end user and licensee evaluation, market expert opinion solicitation
• Assessed viability of diagnostic for venture potential: business model, business plan, sales forecast, COGS analysis, operating cost analysis, breakeven analysis, alternative finances analysis, management resource analysis, exit strategy, worst-case-scenario analysis
Drug Response Prediction Algorithm
• Analysis of cell line expression data to find differentially expressed genes: classification of individual cell lines using inflection curve to determine sensitive vs. insensitive indications, GenePattern analysis to determine differentially expressed genes within each cell line. Hierarchical clustering was also used.
• Pathway and Process Enrichment Analysis: DAVID analysis to determine differentially expressed biological pathways and processes.
• Machine Learning Algorithm: WEKA linear regression was used to build drug response classifiers based on differentially expressed genes.
Skills
Cell Culture, Phase-Shift Nanoemulsion preparation, micro-extrusion, DLS, qNano, pHEMA preparation and classification, PDMS preparation and classification, GenePattern, GNEA, DAVID, GSEA, WEKA, HOMER, BioProspector, CAD, GD&T, rapid prototyping, project experience in MATLAB and Python
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