Summary
Maryam Astero is an AI Research Engineer based in Austin with 9 years of experience translating research-grade machine learning into production systems for scientific and industrial problems. She holds advanced training from Aalto University (PhD work in machine learning) and has a track record developing scalable ML pipelines, from SLURM HPC deployments to city-level mobility analytics and drug-relevant graph neural networks. At CYSS she designed multitask GNNs that yielded up to 28% gains on USPTO benchmarks and built neural-symbolic retrosynthesis and atom-mapping systems, blending symbolic reasoning with deep learning. Her work bridges rigorous academic publication and practical engineering—she has co-authored peer-reviewed papers and operationalized models for downstream use. Now at Genomenon, she brings domain-focused ML expertise to genomic and biomedical applications, pairing deep algorithmic skill with large-scale deployment experience. An understated strength is her ability to move between geospatial, chemical, and bioinformatics problems, applying common ML architectures in novel, domain-tailored ways.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Machine learning, Doctor of Philosophy - PhD, Machine learning at Aalto University
Intensive program of Java for android developing, Computer Programming, Intensive program of Java for android developing, Computer Programming at KTH Royal Institute of Technology
Finnish, Persian, English