Amy Wang
Founding Data Engineer @ Miracle
Updated 8 months ago
7+
Years Experience
13
Roles
20
Skills
2
Education
About
Passionate about transforming scientific discovery with technology, I’m a software engineer and data scientist with expertise in machine learning and computational biology. I'm particularly enthusiastic about bridging the gap between scientists and software to solve complex problems in disease research and drug development. At Genentech, I've developed computational tools for modeling molecular properties, streamlining drug developability assessment, and automating scientific workflows. I've most recently worked on an internal full-stack web application that allows scientists to run machine learning pipelines and ensure data integrity. My experience spans software development, applying computational methods on real world biological datasets, and even wet lab, allowing me to approach scientific challenges with both technical strength and scientific intuition. In my free time, I play cello in the San Francisco Civic Symphony and you can find me hiking, skiing, and camping on the weekends!
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Experience (13 roles)
5 roles · Aug 2022 - Feb 2025
Full Stack Software Engineer
Implemented key features in internal modeling application that streamlines molecule developability assessment by enabling over 50 users to launch computational modeling workflows and interpret model predictions through an intuitive interface Skills: Python · JavaScript · SQL · React.js · Software De...
Software Engineer
• Built a custom Benchling-integrated tool in internal web application • Designed and developed workflow that automates assay data aggregation, post-processing, and result storing using Benchling API’s, enhancing data integrity by automating a previously manual and fragmented process for users Skill...
Data Scientist
• Optimized machine learning models to predict physical degradation behavior from molecular biophysical properties, achieving Pearson R2 of 94% • Enhanced mechanistic understanding of the impact of molecular biophysical properties on long-term stability using kinetic models and statistical correlati...
Computational Scientist
• Developed novel in-silico surface hydrophobicity and electrostatics calculation tools for accurate antibody-drug conjugate developability assessment, enabling a previously unfeasible task in existing antibody-only workflow • Automated, optimized, and integrated tools into existing modeling pipeli...
Technical Development Scientist
• Assessed impact on cell titer by knocking out 6 target host cell proteins using CRISPR/Cas9 gene editing techniques • Proactively developed Python scripts to address pain points in experiment data processing, accelerating by 90%
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Education (2)
University of California, Berkeley
2018 - 2022
Eden Prairie Senior High School
2014 - 2018
Activities and societies: DECA, National Honor Society, TRACE Tutoring, Destination Imagination, Concert Orchestra
Skills (20)
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