Ehsan SadrFaridpour 🤖
Ehsan SadrFaridpour Ehsan Sadr-farid-pour

Biomedical Data Science Researcher

About Me

Hello, I’m a Senior Data Scientist at ModernaTX since 2023. I have a passion for both research and practical implementation, specializing in scalable machine learning solutions that deliver impactful results across industries.

My experience includes:

  • Data Scientist at Lowe’s Home Improvement: Enhanced customer experience and optimized operations through data-driven solutions.
  • Senior Data Scientist at Infor: Built predictive models and analytics tools to support enterprise decision-making.
  • Senior Data Scientist at ModernaTX: Currently, I develop tools and products on the Data Science Platform team to empower cross-organizational collaboration. I focus on predictive services and chatbots for Supply Chain, Legal, and Human Resources, and automate data connections to generate business insights.

I’m deeply interested in advancements in Large Language Models (LLMs) and predictive services. My goal is to enable others by building and deploying cloud-based tools that reduce process friction and enhance collaboration among data scientists.

Interests
  • Scalable Machine Learning
  • Large Language Models
  • Graph Mining
  • Bioinformatics
Education
  • PhD Biomedical Data Science and Informatics

    Joint program from Clemson University and Medical University of South Carolina

  • MS Computer Science

    Clemson University

  • BSc Software Engineering

    IAU

📚 My Research

I am a data science researcher passionate about leveraging machine learning and artificial intelligence to create impactful solutions. My work focuses on automation, system integration, and generating insights that support strategic decisions.

I am always open to new opportunities and collaborations in advanced AI and ML projects. Feel free to reach out if you’re interested.

Featured Publications
Recent Publications
(2019). Engineering Fast Multilevel Support Vector Machines. Machine Learning.
(2019). Predictive Models for Bariatric Surgery Risks with Imbalanced Medical Datasets. Annals of Operations Research.
(2017). Algebraic Multigrid Support Vector Machines. In ESSAN 2017.
Recent & Upcoming Talks

👉 Interested in Collaborating?

If you are working on advanced ML, AI, or healthcare predictive analytics projects, let’s connect! I’m especially interested in applying machine learning to improve health outcomes, exploring large language models, and advancing predictive services.
Learning and Sharing