プロフィール詳細

プロジェクトを作成

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Dr. Kahkeshan H.に依頼

United States

Translational Bioinformatics Expert | PhD | Educator, Consultant & Research Guidance

プロフィール概要

I am a PhD-trained translational bioinformatics expert with 10+ years of experience in computational biology, multi-omics data analysis, and scientific education. I specialize in applying high-throughput molecular data including transcriptomics, proteomics, and clinical datasets to uncover biomarkers, explore disease mechanisms, and support precision medicine research. I currently serve as a senior data science expert at a leading global pharmaceutical company, where I lead biomarker analysis efforts across early- and late-stage clinical programs. My work informs precision medicine strategies, supports drug development, and bridges internal and external datasets for exploratory and regulatory applications. Beyond research, I’m passionate about mentorship, education, and scientific communication. I’ve taught and developed graduate-level courses in computational biology, supervised MS/PhD students, and launched remote internship programs. I have also contributed to scientific panels, international workshops, and peer-reviewed publications. I welcome consulting opportunities in: Bioinformatics & data science: analysis, visualization, statistical modeling Educational consulting: curriculum design, course content review, mentorship programs Scientific advisory: early-stage bioinformatics strategy, talent development, proposal review With a PhD in Bioinformatics from Boston University and a proven track record in both academia and industry, I bring both depth and versatility to projects seeking actionable, biologically grounded insights. As a lead data scientist at a major pharmaceutical company, I’ve worked on multiple clinical-stage assets and disease programs across respiratory and autoimmune indications. My work integrates statistical modeling (ML, LME, regression, clustering), multi-omics workflows (RNA-seq, SomaScan), and clinical interpretation. I’m passionate about scientific mentorship, educational content development, and capacity building. I have designed and taught graduate-level courses in computational biology and have led mentoring programs for interns and postdocs. I am especially interested in advisory roles that support training programs, course development, or scientific guidance. I welcome opportunities in: Educational consulting (course design, content review, online learning) Scientific advisory or mentoring for bioinformatics teams Short-term bioinformatics projects (data analysis, visualization, interpretation) Strategy advising on translational research programs

専門分野

• ☆ Computational Biology
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Omics
• ☆ Transcriptomics
• ☆ Data Analysis
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Statistics
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Python
• ☆ R
• ☆ Biomarker Analysis
• ☆ Precision Medicine
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Meta-Research
• ☆ Literature Search
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing

サービス

• Research
• Consulting
• Data & AI
• Product Development

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

Consulting Scientific and Technical Consulting

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

Product Development Concept Development

職務経験

Senior Expert Data Scientist

Novartis

1月 2020 - 現在

学歴

PhD Bioinformatics

Boston University

8月 2009 - 5月 2014

MS Bioinformatics

Boston University

8月 2009 - 1月 2011

認定資格

• HMX Certificate: Novel Therapies for Chronic Inflammation, Autoimmunity, and Allergy

  Harvard Medical School’s online learning

  6月 2023 - 現在

• HMX Certificate: Novel Therapies for Chronic Inflammation, Autoimmunity, and Allergy

  Harvard Medical School’s online learning

  4月 2022 - 現在