プロフィール詳細

プロジェクトを作成

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Dr. Teesha B.に依頼

Canada

PhD Biochemist | Data Analyst | R, Python, SQL | Statistical Analysis & Data Visualization

プロフィール概要

PhD biochemist with 10+ years of experience analyzing complex experimental datasets. I help life sciences companies extract meaningful insights from their data through rigorous statistical analysis, data cleaning, and visualization. Technical Skills: • R programming (advanced - 5+ years) • Python for data analysis • SQL for database queries • Excel (advanced) • Statistical analysis and hypothesis testing • Data visualization • Experimental design and analysis I specialize in biotech, pharmaceutical, and health science projects where deep scientific understanding matters. My PhD training ensures I can work with complex datasets, understand nuanced research questions, and deliver publication-quality analysis. Services I offer: - Statistical analysis and data interpretation - Data cleaning and preparation - Data visualization in R/Python - Experimental data analysis - Scientific literature review and synthesis - Research methodology consulting Best fit for projects requiring both technical data skills and scientific domain expertise.

専門分野

• ★ Data Analysis
• ★ Data Visualization
• ★ Statistics
• ☆ Natural Product Chemistry
• ☆ Physical Chemistry
• ☆ Analytical Chemistry
• ☆ Separation & Purification
• ☆ Mass Spectrometry
• ☆ Peptide Synthesis
• ☆ Biostatistics
• ☆ Biochemistry
• ☆ Immunoassay
• ☆ Biochemical Assays
• ☆ Enzyme Activity Assays
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Microarrays
• ☆ Omics
• ☆ Lipidomics
• ☆ Proteomics
• ☆ Metabolomics
• ☆ Protein Sequencing
• ☆ Monoclonal Antibody Production
• ☆ Cell Biology
• ☆ Cell-Based Assays
• ☆ Basic Immunology
• ☆ Adjuvant & Antigen Research
• ☆ Histology
• ☆ Microscopy
• ☆ Cryosectioning
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Data Cleaning
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Biomarker Discovery
• ☆ Cell Culture
• ☆ Primary Cells
• ☆ Cell Banking
• ☆ Large Scale Cell Culture
• ☆ Cell Surface Receptors
• ☆ Biomolecular Engineering
• ☆ Genetic Engineering
• ☆ Immunohistochemistry
• ☆ Python
• ☆ SQL
• ☆ Excel
• ☆ LaTex
• ☆ R
• ☆ Vaccine Development
• ☆ Clinical Trials
• ☆ Clinical Trial Design
• ☆ Clinical Data Management
• ☆ Clinical Trials Data Analysis
• ☆ Allergy & Clinical Immunology
• ☆ Clinical Immunology
• ☆ HLA Typing/Tissue Typing
• ☆ Oncology
• ☆ Radiation Therapy
• ☆ Precision Medicine
• ☆ Hematology
• ☆ Hematology-Oncology
• ☆ Leukemia & Lymphoma
• ☆ Clinical Laboratory Science
• ☆ Clinical Biochemistry
• ☆ Tissue Microarray
• ☆ Cancer Research
• ☆ Cancer Biology
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ User Research
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Presentation Design
• ☆ Animation & Illustration
• ☆ Scientific Animation & Illustration
• ☆ Medical Illustration
• ☆ Graphic Design
• ☆ Photography & Image Editing
• ☆ Instructional Webinars
• ☆ Skills Training
• ☆ Regulatory Writing
• ☆ Clinical Trial Documentation
• ☆ Clinical Trial Protocol Writing
• ☆ Medical Writing
• ☆ Research Summaries & Abstracts
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing
• ☆ Science Communication
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Copywriting
• ☆ Emails & Newsletters
• ☆ Marketing Copy
• ☆ Social Media Copy
• ☆ Web Copy
• ☆ Blog Posts
• ☆ Product Descriptions
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Grant Writing
• ☆ Nutraceuticals
• ☆ Supplements

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Clinical Trial Documentation, Technical Writing, Copywriting, Creative Writing, Newswriting, General Proofreading & Editing

Research Meta-Research, Fact Checking, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Quality Assurance & Control (QA/QC)

職務経験

Postdoctoral Fellow

BC Children's Hospital

9月 2023 - 3月 2025

PhD Candidate

University of British Columbia

1月 2018 - 9月 2023

MSc Student

University of Victoria

9月 2015 - 12月 2017

Undergraduate Research Assistant

University of British Columbia

5月 2014 - 8月 2015

学歴

PhD in Biochemistry (Biochemistry & Molecular Biology)

University of British Columbia

1月 2018 - 2月 2024

MSc in Biochemistry (Biochemistry & Microbiology)

University of Victoria

9月 2015 - 12月 2017

BSc in Chemistry with Honours (Okanagan, Chemistry)

University of British Columbia

9月 2011 - 4月 2015

認定資格

• 認定資格の詳細は未入力です。

出版物

PREPRINT

Teesha Baker, Lucy Song, Charley Cai, Selwyn Gu, Leonard J. Foster (2025). A Globally Representative Immunopeptidomics Approach to Identify Population-Wide Vaccine Candidates .

JOURNAL ARTICLE

Queenie W. T. Chan, Shahina Akter, Teesha C. Baker, Chia-Wei Kuan, Lucy Song, Hongbing Yu, Leonard J. Foster (2025). Framework for analyzing MAE-derived immunopeptidomes from cell lines with shared HLA haplotypes . PLOS One.

Brenna N. Hay, Mopelola O. Akinlaja, Teesha C. Baker, Aicha Asma Houfani, R. Greg Stacey, Leonard J. Foster (2023). Integration of data‐independent acquisition (DIA) with co‐fractionation mass spectrometry (CF‐MS) to enhance interactome mapping capabilities . PROTEOMICS.

Teesha C. Luehr (2018). Metabolomic insights into the effects of thyroid hormone on Rana [Lithobates] catesbeiana metamorphosis using whole-body Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) . General and comparative endocrinology.

Teesha C. Luehr (2017). Assessing Environmental Exposure to β-N-Methylamino-L-Alanine (BMAA) in Complex Sample Matrices: a Comparison of the Three Most Popular LC-MS/MS Methods . Neurotoxicity research.

Teesha C. Luehr (2016). Recent advancements in matrix-assisted laser desorption/ionization mass spectrometry imaging . Current opinion in biotechnology.

Teesha C. Luehr (2015). Determination of β-N-methylamino-L-alanine, N-(2-aminoethyl)glycine, and 2,4-diaminobutyric acid in Food Products Containing Cyanobacteria by Ultra-Performance Liquid Chromatography and Tandem Mass Spectrometry: Single-Laboratory Validation . Journal of AOAC International.

Teesha C. Luehr (2015). Circadian changes in endogenous concentrations of indole-3-acetic acid, melatonin, serotonin, abscisic acid and jasmonic acid in Characeae (Chara australis Brown) . Plant signaling & behavior.