Daniel Chen

Daniel Chen Email and Phone Number

Associate Principal Scientist @ Kodiak Sciences
California, United States
Daniel Chen's Location
San Francisco Bay Area, United States, United States
About Daniel Chen

A big picture-driven biologist passionate about studying aging & rejuvenation to combat chronic diseases and connecting the fields of biology and AI. Strong background in cell-based assay development and high-throughput phenotypic drug screening. In particular, extensive experience in generating in vitro data modeling disease and aging, optimized for AI-assisted phenotypic profiling. 6 years of industry experience at a start-up drug discovery and SaaS company. Experienced in bridging biology and computational teams.

Daniel Chen's Current Company Details
Kodiak Sciences

Kodiak Sciences

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Associate Principal Scientist
California, United States
Daniel Chen Work Experience Details
  • Kodiak Sciences
    Associate Principal Scientist
    Kodiak Sciences
    California, United States
  • Spring Discovery
    Principal Scientist
    Spring Discovery Aug 2023 - Present
    San Carlos, California, Us
    - Led external collaborations, involving scoping, budgeting, development, execution, analysis, and delivery of AI-optimized high content imaging experiments and data- Goals of collaborations included MoA characterization, high-throughput screening, preclinical modeling and biomarker discovery- Pitched Spring's AI-based SaaS platform to potential partners and customers to secure partnerships and contracts- Worked closely with partner companies / SaaS customers and internal ML team to answer develop AI platform and answer biological questions- Managed a team of scientists to develop, execute, and analyze internal and external cell-based high content imaging experiments
  • Spring Discovery
    Senior Scientist
    Spring Discovery Aug 2022 - Aug 2023
    San Carlos, California, Us
    - Collaborated on cross-functional teams with biologists and machine learning engineers to execute external partnership projects, internal R&D projects, and build an AI-based custom imaging analysis SaaS product- Developed, executed, and analyzed AI-optimized cell-based assays using primary human cells- Facilitated interactions between partner companies and internal ML engineers and designers to translate biological questions into AI software features- Conceived and led an Incucyte-based experiment to characterize the process of iPSC reprogramming with AI- Served as an internal user of AI software to analyze internal projects and help develop SaaS platform- Trained, directed, and oversaw the experimentation of junior level research scientists
  • Spring Discovery
    Scientist
    Spring Discovery Jan 2019 - Aug 2022
    San Carlos, California, Us
    - Developed a cell-based, high-content imaging phenotypic assay and high-throughput screen for inflammasome activation and inhibition in primary human PBMCs, resulting in a first-author publication - Elucidated mechanism of action/signaling pathways of small molecules by comparing their phenotypic and cytokine profiles with those of control compounds across biological pathways using machine learning approaches- Developed biochemical and cellular assays to validate screen hits- Designed cell-based high-content imaging experiments leading to machine learning models capable of age-based classification and cell pathway/MoA determination in multiple human cell types- Executed high content imaging experiments using human primary cells to discover drugs for age-related diseases- Collaborated on cross-functional teams with biologists and machine learning engineers- Directed a team of 2-4 scientists to execute team-based experiments
  • Stanford University
    Postdoctoral Researcher
    Stanford University Sep 2018 - Dec 2018
    Stanford, Ca, Us
    - Studied epigenetic memory in muscle stem cell function during regeneration
  • University Of California San Diego
    Graduate Student
    University Of California San Diego Sep 2013 - Mar 2018
    La Jolla, Ca, Us
    - Established a link between the epigenetic clock and age-related eye disease in mice, resulting in a first-author publication and patent- Gained experience in mouse models. Assessed aging phenotypes and eye anatomy/function in CRISPR-KO mice- Identified a novel method to rejuvenate aged fibroblasts using a derivative of vitamin C, resulting in a patent- Gained extensive experience in mammalian cell culture and assay development- Developed expertise in biochemistry, molecular biology, and cell biology - Mentored and trained five undergraduate researchers- Taught two genetics courses as a teaching assistant
  • Anschutz Medical Campus
    Professional Research Assistant
    Anschutz Medical Campus Dec 2011 - May 2013
    Denver, Colorado, Us
    - Assisted in the creation of an optogenetic tool based on cellular secretion, resulting in a first-author publication
  • University Of California, Berkeley
    Research Assistant
    University Of California, Berkeley Sep 2010 - Nov 2011
    Berkeley, Ca, Us
    - Investigated effects of extracellular matrix composition on myoblast markers- Assisted in the development of a platform for programming custom regulatory functions in E. coli
  • National Institute Of Cancer Research
    Intern
    National Institute Of Cancer Research Jun 2010 - Aug 2010
    - Investigated receptor translocation in cancer cells

Daniel Chen Education Details

  • Uc San Diego
    Uc San Diego
    Biological And Biomedical Sciences
  • University Of California, Berkeley
    University Of California, Berkeley
    Bioengineering

Frequently Asked Questions about Daniel Chen

What company does Daniel Chen work for?

Daniel Chen works for Kodiak Sciences

What is Daniel Chen's role at the current company?

Daniel Chen's current role is Associate Principal Scientist.

What schools did Daniel Chen attend?

Daniel Chen attended Uc San Diego, University Of California, Berkeley.

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