Joshua Schiller
Staff Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJoshua Schiller is a Staff Data Scientist in New York with 11 years of experience applying machine learning and software engineering to drug discovery and finance. He builds and scales predictive models for ADME/PK properties and has implemented deep learning solutions for de novo molecular design using PyTorch, alongside production-grade tooling such as APIs for large-scale Monte Carlo simulations. His background blends a Ph.D. in Mechanical Engineering with hands-on data engineering—entity resolution, NLP-based record linkage, and fuzzy matching—to reconcile disparate datasets for downstream modeling. Equally comfortable with research and product goals, he has moved models from experimental validation to stakeholder-facing financial scenarios that inform senior leadership. Notably, his career combines rigorous academic training with practical systems engineering to accelerate decision-making in biotech and pharma.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Binghamton UniversityDoctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at University of Illinois Urbana-Champaign
Github Skills (32)
controlling8
sorting6
x-plane6
deep-learning6
machine-learning6
django6
shapley6
python5
linux4
tableview4
gradient-boosting4
graphene3
oms3
shap3
sampling3
Programming languages (3)
Github contributions (5)
jaschil2/QMCDB-Josh
Jul 2015 - Jun 2016
Contributions:10 pushes, 2 branches in 10 months
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