プロフィール詳細

プロジェクトを作成

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Dr. Alex V.に依頼

United States

Computational Biologist | Oncology Biomarkers, Genomics, Single-Cell & Spatial Analysis

プロフィール概要

Computational biologist and data scientist specializing in oncology biomarkers, genomics, and AI/ML workflows for life-science teams. I help clients turn complex omics and clinical datasets into clear, decision-ready analyses for biomarker discovery, patient stratification, mechanism-of-action studies, and translational research. My experience includes single-cell RNA-seq, spatial transcriptomics (Visium, CosMx), long-read RNA sequencing, differential expression, gene-set enrichment, survival analysis, feature engineering, and predictive modeling in R and Python. I have worked on immuno-oncology biomarker discovery, renal cell carcinoma and melanoma response/resistance modeling, ADC target validation, tumor microenvironment analysis, and cancer alternative splicing. I can support projects involving study design, exploratory analysis, reproducible R/Python workflows, biological interpretation, technical review, literature-backed evidence summaries, and clear figures/tables for scientific or business audiences. I am especially useful when a project needs both computational rigor and biological judgment.

専門分野

• ★ Bioinformatics
• ☆ Computational Biology
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Data Analysis
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Data Architecture
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ R

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, General Proofreading & Editing

Research Market Research, Feasibility Study, Technology Scouting, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Digital Strategy Consulting, Healthcare Consulting, Scientific and Technical Consulting

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

職務経験

Founder / Computational Biology Consultant

Orchestrated Biosciences

1月 2026 - 現在

Orchestrated Biosciences

1月 2026 - 現在

Data Scientist

Vindhya Data Science

8月 2022 - 1月 2026

Analyst II

Protein Sciences Corporation

5月 2015 - 8月 2017

学歴

PhD, Biomedical Sciences

UConn Health / University of Connecticut

8月 2017 - 5月 2022

Doctor of Philosophy (Biomedical Sciences)

University of Connecticut

8月 2017 - 5月 2022

Master of Science (Molecular and Cell Biology)

Quinnipiac University

8月 2015 - 5月 2017

Bachelor of Science (Biomolecular Sciences)

Central Connecticut State University

8月 2012 - 8月 2015

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2026). HIF-2-mediated gene expression is highest in metastatic and cluster-exclude clear cell renal cell carcinoma tumors . CANCER RESEARCH.

(2026). Mitochondrial potential as a biomarker of T cell fitness and function in cancer immunotherapy . CANCER RESEARCH.

Shneider NA, Nesta AV, Rifai OM, Yasek J, Elyaman W, Aziz-Zaman S, Lyu MA, Levy SHS, Hoover BN, Vlad G, et al. (2025). Clinical Safety and Preliminary Efficacy of Regulatory T Cells for ALS . NEJM evidence.

Nesta A, Veiga DFT, Banchereau J, Anczukow O, Beck CR (2025). Alternative splicing of transposable elements in human breast cancer . Mobile DNA.

(2025). Clinical Safety and Preliminary Efficacy of Regulatory T Cells for ALS . NEJM EVIDENCE.

(2025). Alternative splicing of transposable elements in human breast cancer . MOBILE DNA.

(2024). Alternative splicing of transposable elements in human breast cancer . bioRxiv.

(2023). Biomarker-driven prospective clinical trial in renal cell carcinoma: Developing machine learning models to allocate patients to treatment arms using RNA sequencing . JOURNAL OF CLINICAL ONCOLOGY.

(2023). Biomarker-driven prospective clinical trial in renal cell carcinoma: Developing machine learning models to allocate patients to treatment arms using RNA sequencing. JOURNAL OF CLINICAL ONCOLOGY.

(2023). Developing spatial molecular correlates of response to immunotherapy in kidney cancer . CANCER RESEARCH.

(2023). Spatial proteomics enables identification of prognostic biomarkers in papillary renal cell carcinoma. ONCOLOGIST.

Diogo F. T. Veiga and Alex Nesta and Yuqi Zhao and Anne Deslattes Mays and Richie Huynh and Robert Rossi and Te-Chia Wu and Karolina Palucka and Olga Anczukow and Christine R. Beck and Jacques Banchereau(2022). A comprehensive long-read isoform analysis platform and sequencing resource for breast cancer . Science Advances. 8. (3). American Association for the Advancement of Science ({AAAS})

(2022). A comprehensive long-read isoform analysis platform and sequencing resource for breast cancer . SCIENCE ADVANCES.

(2021). Hotspots of Human Mutation . TRENDS IN GENETICS.

(2020). Hotspots of Human Mutation . Trends in genetics : TIG.

Kenneth M. Palanza and Alex V. Nesta and Renukanandan Tumu and Cherie M. Walton and Michael A. Davis and Thomas R. King(2016). Auxotrophy-Based Detection of Hyperornithinemia in Mouse Blood and Urine . Journal of Inborn Errors of Metabolism and Screening. 4. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 232640981664960. {FapUNIFESP} ({SciELO})

(2014). The retarded hair growth (rhg) mutation in mice is an allele of ornithine aminotransferase (Oat) . Molecular genetics and metabolism reports.

PREPRINT

Alex Nesta, Diogo F. T. Veiga, Jacques Banchereau, Olga Anczukow, Christine R. Beck (2024). Alternative splicing of transposable elements in human breast cancer .