Edlyn Wu

Edlyn Wu

Scientific Solutions Associate

Dr. Edlyn Wu earned her PhD in Biochemistry from McGill University in Canada, investigating the mechanisms for how small RNA molecules interfere with protein synthesis. She then moved to Europe for her postdoctoral research at the Max Planck Institute for Molecular Cell Biology and Genetics in Dresden, Germany, before moving with the lab to the Université de Lausanne in Switzerland.

Throughout her academic career, Edlyn has actively engaged in scientific communication initiatives, working to make complex scientific concepts and research stories accessible to broader audiences. Eager to expand her impact beyond traditional bench research, she transitioned to industry by joining Atinary Technologies. In her role in business development, marketing, and communications, she draws on her deep understanding of the challenges scientists face at the bench to bridge the gap between researchers and cutting-edge digital technologies that support and enable scientific innovation.

Check out her interview on Lormina!

Research interests: Molecular Biology, Developmental Biology, Gene Regulation, Self-driving labs, AI-driven R&D

  • Evaluation Map: Navigating the Landscape of AI-Driven R&D and SDLabs®

    Edlyn Wu/
    May 18, 2026
  • How AI and Machine Learning are transforming chemical process development and optimization

    Edlyn Wu/
    May 11, 2026
  • Reimagining how science is done: 6 trends reshaping R&D by 2030

    Edlyn Wu/
    May 13, 2026
  • From Vision to Reality: Reflections on the Atinary Self-Driving Labs® Grand Opening

    Edlyn Wu/
    May 9, 2026
  • AI DoE for Chemists: an Optimization Guide

    Edlyn Wu/
    May 11, 2026
  • AI-Driven Experimentation in Solar Cell Research

    Edlyn Wu/
    April 30, 2026
  • An array of solar panels angled toward a bright, sunlit sky with scattered clouds at sunset.

    AI-Driven and Code-Free Bayesian Optimization for Perovskite Solar Cells

    Edlyn Wu/
    April 30, 2026
  • Hydroformylation R&D with AI for Resource Efficiency

    Edlyn Wu/
    April 30, 2026
  • Leveraging HTE to optimize yield in deprotection reaction with Takeda Pharmaceuticals

    Edlyn Wu/
    April 15, 2026
  • HPLC Method Development Optimization for Peak Resolution using AI

    Edlyn Wu/
    April 30, 2026
  • Maximizing yield and minimizing cost in oligonucleotide synthesis with Snapdragon Chemistry

    Edlyn Wu/
    April 16, 2026
  • Optimizing Catalyst Formulation for CO2 to Methanol Conversion with ETH Zurich

    Edlyn Wu/
    April 16, 2026
  • Maximizing Yield and Conversion in Chemical Synthesis with IBM Research Europe

    Edlyn Wu/
    January 29, 2026
  • Smart Chemical Library Screening and Ligand Optimization

    Edlyn Wu/
    January 26, 2026
  • AI-Driven Perovskite Solar Cell Optimization with ViperLab

    Edlyn Wu/
    April 30, 2026
  • A promotional graphic for Atinary Technologies featuring a robotic arm operating in a laboratory setting, with the text "Atinary Opens its Self-Driving Labs® in Boston."

    Atinary Opens Self-Driving Labs® in Boston, Bringing AI into the Physical World of R&D

    Edlyn Wu/
    April 30, 2026
  • Atinary SwissCAT+ Materials Discovery with Self-Driving Labs®

    Edlyn Wu/
    April 30, 2026
  • Inside Atinary’s New Biopôle Office and Team Culture

    Edlyn Wu/
    April 18, 2026
  • Atinary and Chemspeed’s Demo Lab Opening

    Edlyn Wu/
    April 16, 2026
  • Atinary Self-Driving Lab with ABB, Agilent and Mettler-Toledo

    Edlyn Wu/
    April 30, 2026
  • Atinary is now listed on AWS Marketplace

    Edlyn Wu/
    February 6, 2026
  • Atinary’s SDLabs Platform is SOC 2 Compliant

    Edlyn Wu/
    February 6, 2026
  • Atinary Joins the AWS Partner Network

    Edlyn Wu/
    February 6, 2026
  • Dr. Stephen Buchwald Joins Atinary’s Advisory Board

    Edlyn Wu/
    April 16, 2026
  • Bayesian Optimization for Resource-Efficient Hydroformylation

    Edlyn Wu/
    April 30, 2026
  • Atinary’s Multi-Fidelity ML Algorithm Now Published

    Edlyn Wu/
    April 16, 2026
  • New machine learning research article from Atinary

    Edlyn Wu/
    February 6, 2026
  • New publication for Atinary and IBM Research

    Edlyn Wu/
    February 6, 2026
  • New publication for Atinary in Chimia

    Edlyn Wu/
    February 6, 2026
  • Agentic Workflows in the Lab (Webinar) | Atinary x Chemspeed

    Edlyn Wu/
    April 30, 2026
  • Shaping the Future of R&D teams with AI and Self-Driving Labs® (Webinar – Ep04)

    Edlyn Wu/
    April 30, 2026
  • DMTA Innovation at Takeda | Atinary Webinar Series Ep03

    Edlyn Wu/
    April 18, 2026
  • Closing the loop in R&D with AI | Atinary Webinar Series Ep 02

    Edlyn Wu/
    April 7, 2026