💻Research Scientist | Data Scientist
About Me
I am a Ph.D.-trained research scientist with 8+ years of expertise in statistical modeling, predictive analytics, and machine learning. I am skilled at leveraging Python, SQL, and advanced methods – such as Bayesian inference – to derive actionable insights from complex datasets. I have a proven ability to communicate technical findings to diverse audiences, lead cross-functional collaborations, and optimize workflows for research advancements. I am passionate about driving data-informed innovation in industry.
- Data science
- Bayesian analysis
- Predictive modeling
- Machine learning
- Multi-modal data
Ph.D. Physics
University of Connecticut
M.S. Physics
San José State University
B.S. Physics
University of California, Davis
I specialize in Bayesian analysis techniques and machine learning to develop sophisticated models for complex systems. My work focuses on hierarchical Bayesian methods, which integrate information from diverse data sources while accounting for systematic differences, producing robust and reliable models even in the presence of uncertainties. Additionally, I have hands-on experience applying machine learning methods such as convolutional neural networks to uncover patterns, make predictions, and solve challenging data-driven problems.
I’m passionate about leveraging these skills to tackle real-world challenges and drive innovation. Let’s collaborate! 😃
I enjoy developing robust, data-driven solutions and acitonable insights. Here are a selection of projects that I have worked on over the years.
