Gaurav Tuli Email & Phone Number

Boston, MA, US

• Initiated, lead and participated in several national- and global-level COVID-19 research efforts in order to understand and monitor: disease dynamics, symptoms, vaccinations hesitancy, population behavior, and human.
• Supervising and championing ML- and computer vision-based clinical solutions for: measuring visual acuity, estimating Pao2 and oxygenation index, and classifying high-risk patients for food allergy challenges by.
• Closely collaborate with engineering teams at philanthropic orgs (e.g., Google.org, Robert wood Johnson Foundation) and tech giants (e.g., Google Health, Facebook) on multiple national-level research and development.
• Devise data mining and analytics solutions by employing novel user data privacy technologies, such as federated analytics and differential privacy.
• Procured collaboration and funding from the hospital and external organizations by identifying data-driven solutions and communicate them to senior management and C-suit.
• Manage and mentor a team of data scientists, software engineer, and graduate students from many top universities.

Boston, MA, US

• Lead and implemented ML infrastructure and models for projects pertaining to population health, digital health, and patients experience.
• Identified potential rare disease patient population and matched them to the disease expertise at the BCH by utilizing patient forums and social media such as Reddit
• Interacted with clinical champions at the hospital to identify ways to use different internal data source to improve efficiency, patient outcomes and patient satisfaction at the hospital.
• Expand the reach of core data services beyond the hospital by identifying funding venues to mentor outside innovators in the area of pediatric medical device application development.

Boston, MA, US

• Autonomously spearheaded the research and development of a public-facing interactive gun violence surveillance platform to track and report near real-time gun violence incidences at US city level by merging traditional.
• Introduced ML for Public Health to dozens of local and international public health agencies by building and deploying a surveillance platform to track and respond to foodborne illness cases utilizing social media data.
• Developed ML algorithms to track and rank patient experience across more than three thousand US hospitals using social media data and provide actionable knowledge to hospitals for improvement.
• Engineered an innovative social data geocoding service that is used across multiple projects. Also, developed various ML infrastructure for research and development projects.

• Led a population health and chronic health outcomes research with the Facebook Reality Lab, and collaborated with a team of researchers spread across US for the project.
• Helped create a detailed research protocol for the study and identifying aims and scope.
• Designed and implemented a system architecture and tools for this national-scale research.
• Generated a synthetic representative user data, and built ML tools to analytically validate the approach at scale.

Blacksburg, VA, US

• Study social contagion and their blocking over face-to-face and online social networks in Network Dynamics and Simulation Science LaboratoryResponsibilities/Contributions
• Addressed important public health questions through machine learning -based analytics of Twitter data. I used unstructured signals from Twitter to quantify the exposure of under-age user to smoking-related messaging..
• Developed and implemented a computational simulation model to study the combined effect of peer influence and addictive nature of smoking on the smoking contagion. The model was validated by performing simulation.
• Implemented various diffusion and blocking heuristics for complex contagion over social networks by utilizing one or more of the following parameters in combination: seed set, critical nodes, critical edges, and.
• As a part of a software team, I also developed a web-based, interactive, visual analytics tool for a GIS-based software system. It allows in-depth analysis of many different attributes of the population of a selected.

Boston, MA, US

The main focus of the internship was to address important public health questions through machine leaning based analytics of social media data, especially Twitter Data. I implemented tools to evaluate various types of classifier for disease-related tweet classification utilizing diverse set of features. This is a complex process that has several.

Carbondale, IL, US

• Project: Basic Local Alignment Search Tool (BLAST) - Sponsored by American Heart Association. Responsibilities/Contributions
• Developed and implemented a socio-cultural model to alleviate the burden of supervisory control for intelligence, surveillance, and reconnaissance (ISR) in network centric warfare.
• Explored the applicability of predominant cultural traits of military forces and warfare (unmanned) machinery in ISR to produce a desired group behavior with minimum efforts, and therefore make high-level human.
• A multi-agent based simulation study of the model was performed, and a graphical user interface was developed to showcase the approach and its advantages

Carbondale, IL, US

Project: Man On The Loop (MOTL) ­ Sponsored by US-AFRL Responsibilities/Contributions · Developed and explored the psycho-socio-cultural mathematical model -"Man On The Loop". · Developed a graphical user interface using C and OpenGL to showcase the approach and its advantages. · Validated MOTL parameters through the implementation of a.

Phd, Computer Science & Application

Postdoctoral Research Fellowship, Applied Machine Learning

Ms, Computer Science

Be, Computer Science(Hons)

High School