Mark Rucker Email & Phone Number

Charlottesville, VA, US

Charlottesville, Virginia, United States

I lead a growing team of research engineers that support machine learning and human-centered research with mobile and wearable devices. We develop iOS and Android apps that support real-time surveys, adaptive interventions, passive sensing, and on-device intelligence (i.e., machine learning models deployed to smartphones). Our mission is to let research.

Charlottesville, Virginia Area

• Modeled statistical relationships between passive physiological sensors and anxiety
• Designed contextual bandit models for novel mental health intervention studies
• Contributed to an NIH grant for a just in time adaptive mental health intervention
• Managed and processed large datastores for several ongoing research projects

Redmond, Washington, United States

• Developed ResNet models to predict conditional quantiles of winning bids in first-price auctions
• Composed infinite action contextual bandits with LLMs to produce few-shot, in-context learners

Charlottesville, Virginia Area

• Analyzed large spatiotemporal datasets using GeoTools, Accumulo, HDFS and Spark
• Applied noise reduction filters (e.g., Kalman, median and Gaussian) to trajectory data
• Fit statistical models using supervised, unsupervised and semi-supervised techniques
• Used parametric and non-parametric hypothesis testing to validate model improvements
• Optimized out of the box scikit-learn algorithms to improve efficiency and accuracy

Charlottesville, Virginia Area

• Used AWS and TensorFlow.js to test individualized recommendation models in real time
• Used Markov models with RL algorithms to represent and transfer human behavior
• Used experimental designs to infer causal relationships between humans and ML algorithms
• Received 2017 UVA Data Science Institute Presidential Fellowship
• Supported a Xamarin mobile sensing application (Sensus) on iOS and Android

Oklahoma City, Oklahoma

• Led architecture initiatives to improve software testability, maintainability and extensibility
• Designed and implemented an internal framework to manage resource intensive processes
• Kept abreast of new technologies in order to align business needs with developing trends

Oklahoma City, Oklahoma

• Managed software team (interviewing, mentoring and performance reviews)
• Managed software projects (requirements, estimates and code design)
• Extensive work with JavaScript to seamlessly utilize and extend third party web controls

Oklahoma City, Oklahoma

• Designed and implemented a file system abstraction to allow horizontal scaling of file servers
• Designed and implemented a multi-level subscription service to handle all customer payments
• Designed and implemented a new system structure to allow easier mocking and unit-testing

Oklahoma City, Oklahoma

• Designed a study to evaluate the capacity of Oklahoma’s emergency food providers
• Developed a software application to leverage human analysis of the study results
• Recruited, trained and coordinated 50 volunteers and 2 full-time summer interns

Fort Smith, Arkansas

• Enhanced and Supported the Operations module for the Key Performance Indicators
• Principal developer through the entire life-cycle of the Operational Expense Forecaster
• Wrote and maintained a core subroutine for routing freight in the ABF shipping network

Master Of Science (M.S.), Systems And Information Engineering

Challenging, theory-driven course work in optimization, machine learning and statistical modelling. Research focused on analysis and.

Bachelor Of Science (B.S.), Computer Science

Introduction of core programming concepts with a strong foundation in underlying mathematical theory. Particular focus was given to.