プロフィール詳細

プロジェクトを作成

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Dr. Abhik S.に依頼

United States

AI & Machine Learning Leader for the Bio-Pharma Industry

プロフィール概要

A results-oriented Principal Data Scientist with a Ph.D. in Cheminformatics and a proven track record of developing and deploying innovative data science, machine learning, and AI solutions to address complex challenges in the life sciences and pharmaceutical industries. My expertise spans the full data science lifecycle, from strategic planning and data architecture to hands-on model development, with a specialization in Graph Machine Learning, Natural Language Processing (NLP), Generative AI (GenAI), and cheminformatics. I excel in leading cross-functional teams to build scalable, high-impact systems that accelerate drug discovery, optimize commercial strategies, and unlock novel scientific insights

専門分野

• ☆ Drug Discovery
• ☆ High Throughput Screening (HTS)
• ☆ Drug Target Identification
• ☆ Hit-to-Lead & Lead Optimization
• ☆ Medicinal Chemistry
• ☆ Drug Design
• ☆ Structure-Activity Relationship (SAR) Studies
• ☆ Drug Development
• ☆ Small Molecule Drug Development
• ☆ Preclinical ADME/PK/PD
• ☆ Pharmaceutical Management
• ☆ Pharmaceutical Technology

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Creative Writing, General Proofreading & Editing

Research Meta-Research, Gray Literature Search, Scientific and Technical Research, Secondary Data Collection

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

Data & AI Predictive Modeling, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining

職務経験

Principal Data Scientist

Lynx Analytics

5月 2022 - 現在

Adjunct Professor

Indiana University

8月 2011 - 現在

学歴

Phd Informatics and computing

Indiana University

8月 2011 - 12月 2015

認定資格

• 認定資格の詳細は未入力です。

出版物

CONFERENCE PAPER

Abhik Seal, Yaron Ilan, Sergii Zakharov, Olga Lyudovyk, Marton Szel, Gyorgy Lajtai, Armin Rath, Dan Chiche, Tony Arulanandam, Daniel Teper (2024). Leveraging graph AI to analyze the influence of GPC3 gene expression and NK-cell tumor infiltration on hepatocellular carcinoma survival rates . Regular and Young Investigator Award Abstracts.

JOURNAL ARTICLE

Abhik Seal, Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Brian Martin, Keshav Pingali(2021). Optimizing Graph Transformer Networks with Graph-based Techniques . arXiv

Seal A, Wild DJ (2018). Netpredictor: R and Shiny package to perform drug-target network analysis and prediction of missing links . BMC bioinformatics.

Fu G, Ding Y, Seal A, Chen B, Sun Y, Bolton E (2016). Predicting drug target interactions using meta-path-based semantic network analysis . BMC bioinformatics.

Seal A, Ahn YY, Wild DJ (2015). Optimizing drug-target interaction prediction based on random walk on heterogeneous networks . Journal of cheminformatics.

Seal A, Gupta A, Mahalaxmi M, Aykkal R, Singh TR, Arunachalam V (2014). Tools, resources and databases for SNPs and indels in sequences: a review . International journal of bioinformatics research and applications.

Seal A, Yogeeswari P, Sriram D, OSDD Consortium, Wild DJ (2013). Enhanced ranking of PknB Inhibitors using data fusion methods . Journal of cheminformatics.

Seal A, Passi A, Jaleel UA, Open Source Drug Discovery Consortium, Wild DJ (2012). In-silico predictive mutagenicity model generation using supervised learning approaches . Journal of cheminformatics.

Singh TR, Gupta A, Riju A, Mahalaxmi M, Seal A, Arunachalam V (2011). Computational identification and analysis of single-nucleotide polymorphisms and insertions/deletions in expressed sequence tag data of Eucalyptus. Journal of genetics.

Seal A, Aykkal R, Babu RO, Ghosh M (2011). Docking study of HIV-1 reverse transcriptase with phytochemicals . Bioinformation.

BOOK CHAPTER

Abhik Seal, Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Ying Ding (2021). Biomedical Knowledge Graph Refinement and Completion Using Graph Representation Learning and Top-K Similarity Measure . Lecture Notes in Computer Science.