プロフィール詳細

プロジェクトを作成

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Akshay P.に依頼

India

Statistical modeling and ML. Experience with Bial Biotech and RocheI I2O. Clinical data, single cell omics analysis.

プロフィール概要

We use mathematical modeling and machine learning based strategies for patient selection in clinical trials. We utilize longitudinal data from interventional and observational studies, that the clients conduct, to reveal different endotypes. Clients include Bial Biotech and Roche I2O. Bial Biotech: - --Spearheaded ideation and development of a machine learning algorithm for feature engineering and adaptive clustering of dynamical time-series metabolomics data characterizing Parkinson’s patients’ response to a novel drug in Phase 1b clinical trials. Graph-theoretic approaches were used to identify clues for a fluxes in the metabolic network for lipids. Analyzed longitudinal metabolomic and symptomatic data from Michael J Fox's PPMI (Parkinsons progression markers initiative). --Identified groups of linear metabolite progressors that associate with specific symptomatic scores for Parkinsons disease. --Built a first of its kind stochastic model that indicated the extent of instabilities in Likert scale symptomatic scores for Parkinson's disease. Roche I20: --Developed a customized algorithm for clustering of dynamical symptomatic scores characterizing the prognosis of Ulcerative colitis post Etrolizumab administration. --Applied a customized random-forest based algorithm that identified with good recall, ulcerative colitis subjects that worsen post induction phase. The work can potentially help in deciding the continuation of Etrolizumab treatment and hence mitigate the treatment costs. --Implemented generative AI (Topic modeling) methodology and stability techniques therein to characterize associated disease trends in etrolizumab Phase III trials. --Explored the use of scRNA-seq analysis suites (Seurat, scanpy) coupled with trajectory reconstruction techniques.

専門分野

• ★ Machine Learning
• ★ Bioinformatics
• ★ Manuscript & Journal Article Writing
• ☆ Computational Biology
• ☆ Mathematical Biology
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Genetics
• ☆ Gene Expression Analysis
• ☆ Kinases
• ☆ Cell Biology
• ☆ Cell Signaling Pathways
• ☆ Gene Regulation
• ☆ Neuroscience
• ☆ Molecular Neuroscience
• ☆ Biotechnology & Bioengineering
• ☆ Data Analysis
• ☆ Social Network Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Deep Learning
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Stochastic Processes
• ☆ Cell Culture
• ☆ Population Genetics
• ☆ Cytometry
• ☆ Cell Aging
• ☆ Matlab
• ☆ SQL
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn
• ☆ Hypothesis
• ☆ Research Methodology
• ☆ Technical & Scientific Writing
• ☆ SOP & Protocol Writing
• ☆ Science Communication

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing General Proofreading & Editing

Research Meta-Research, Feasibility Study, Gap Analysis, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Data Visualization, Big Data Analytics, Data Insights

職務経験

Bioinformatician/Computational Biologist

Gestalt strategies

6月 2021 - 9月 2023

学歴

PhD

IIT Bombay

1月 2012 - 9月 2019

PhD (IIT Bombay) (Chemical Engineering)

IIT Bombay

1月 2012 - 9月 2019

認定資格

• Structuring Machine Learning Projects

  Deep Learning.AI

  https://www.coursera.org/account/accomplishments/certificate/PJ73NJV2DU4J

  10月 2023 - 現在

• Sequence Models

  Deep Learning.AI

  https://www.coursera.org/account/accomplishments/certificate/9BDZ9RRG4D9E

  9月 2023 - 現在

出版物

JOURNAL ARTICLE

Parundekar A, Ganesh A Viswanathan (2021). Retroactivity induced operating regime transition in an enzymatic futile cycle . PloS one.

Parundekar A, Kalantre G, Khadpekar A, Ganesh A Viswanathan (2019). Operating regimes in a single enzymatic cascade at ensemble-level . PloS one.

Virendra Gomase, Parundekar AN (2009). microRNA: human disease and development . International journal of bioinformatics research and applications.