Rizki Mardian
Principal Scientist at GSK
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolRizki Mardian is a Principal Scientist based in Boston with eight years of cross-disciplinary experience at the intersection of synthetic biology, machine learning, and lab automation. He has designed large-scale synthetic gene circuits and led end-to-end biologics discovery platforms—bringing together phage/yeast display, NGS, ML-driven in-silico library design, and MLOps to accelerate hit discovery and affinity maturation. Rizki pairs deep wet-lab expertise (Golden Gate/Gibson assembly, flow cytometry, microfluidics) with production-grade data engineering and automation, having built real-time pipelines and Opentrons-driven DBTL workflows. At industry leaders including Merck and GSK he has driven team strategy with OKR/KPI frameworks while delivering practical protein design and informatics solutions. Notably, his background in computer science and hands-on platform building enables him to translate generative AI and Bayesian approaches into tangible biotherapeutic candidates.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at University of IndonesiaDoctor of Philosophy (PhD) Biotechnology, Doctor of Philosophy (PhD) Biotechnology at Nagoya University
Indonesian, English, Japanese
Github Skills (5)
prediction5
quality-assurance4
python3
automation2
automation-framework1
Programming languages (4)
Github contributions (5)
CIDARLAB/neural-optimizer
Jul 2019 - Jan 2020
Contributions:4 commits, 5 pushes, 2 branches in 5 months
rmardian/intein-based-circuits
Mar 2021 - May 2023
Contributions:45 pushes, 1 branch in 2 years 1 month
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