Summary
Miriam Cheng is a web developer and Stanford Math & CS student with nine years of hands-on experience applying engineering to finance, biotech, and open-source projects. She built a production analytics tool at Morgan Stanley that accelerated fixed-income trading decisions and contributed ML-driven search relevance code to OpenSearch at AWS. Her research background spans bioengineering work on bacterial membrane biophysics and clinical-trial analysis in biotech, giving her a rare mix of quantitative, experimental, and product-focused instincts. A skilled communicator, she has presented technical results to trading divisions and published humanities research from a Cambridge fellowship. Based in Palo Alto, she blends rigorous math training with practical software delivery and an unusual curiosity about sensory biology that informs her interdisciplinary approach.
10 years of coding experience
1 year of employment as a software developer
K3-G12, K3-G12 at The ISF Academy
Master of Science - MS, Computer Science (AI Track), Master of Science - MS, Computer Science (AI Track) at Stanford University