Ning Li Email & Phone Number

New York, Ny, Us

Built and led teams of data scientists, machine learning engineers, and healthcare analysts that supported the data science and advanced analytics needs of the company throughout its transition from rapid growth to sustainability and profitability.

New York, Ny, Us

The Data Science team develops and deploys data driven models to 1) target appropriate members who would benefit from our behavioral health programs using claims data, 2) optimize provider network and call center workflows using operational data, and 3) build other data products to support business stakeholders. We are a team of multidisciplinary scholars making a meaningful impact on members' quality of life. We leverage cutting-edge technologies in feature engineering, machine learning, operations research, and MLOps. We have been playing a crucial role in the company's rapid growth, and will continue to support internal and external stakeholders to provide high quality, technology-enabled behavioral health care.

Somerville, Massachusetts, Us

Study causal and predictive numeric modeling with large scale computational methods; Develop machine learning methods for healthcare data and artificial intelligence for healthcare intervention; Bioinformatics research with large amounts of biological data sets; Process data, build models and extract results to deliver insights to the Company’s customers; Working with customers to develop analytics that will expand the Company’s product division; Acting as a vital communication link between the Company’s scientists and engineers; Working to define and support the customer’s analytics needs; Serving as lead analytics for product development analytics; Documenting statistical methodologies and analysis plans effectively.Lead scientist of Advanced Illness solution at GNS Healthcare: http://www.gnshealthcare.com/advanced-illness/

Somerville, Massachusetts, Us

Study causal and predictive modeling with large scale computational methods using Bayesian inference networks and simulated annealing (Markov chain Monte Carlo). Develop machine learning methods for population health data and artificial intelligence for healthcare intervention.

Waltham, Ma, Us

* Google Scholar profile: https://scholar.google.com/citations?hl=en&user=nfqhfWoAAAAJ• Made various strategies in experimental design and data collection, based on statistical analysis to large amounts of complex data sets. These strategies led to successful experiments, including the discovery of the first experimental demonstration of Alan Turing’s theory of morphogenesis in diffusively coupled chemical cells, and multiple publications in prestigious peer-reviewed journals.• Built and simulated the mathematical models for the reaction-diffusion system using various programming languages. The simulation results not only well resembled experimental data, but also predicted new phenomena that led to important experimental discoveries. • Investigated the nonlinear dynamics, spatio-temporal pattern formation and synchronization of artificial neural networks using nonequilibrium reaction-diffusion networks of micron-scale oscillating chemical cells, with large amounts of data manipulation, statistical analysis and numerical simulations.• Simulated the nonlinear dynamics of reaction-diffusion networks and the structural mechanics of self-oscillating gels using finite element modeling and parallel computing. The numerical results not only well resembled data, but also predicted new phenomena that led to experimental discoveries.• Studied self-oscillating gels driven by oscillating chemical reaction as novel smart materials. Synthesized monodispersed PNIPAm microgel and studied its volume phase transition using dynamic and static light scattering.• Designed and manufactured “on chip mixing” PDMS microfluidic chips to avoid CO2 bubble generation while encapsulating oscillating chemical solutions into single/double microemulsions. Constructed “programmable illumination” optical system for light pattern projection with micron-scale resolution and real-time control.

Waltham, Ma, Us

Leading other teaching assistants to supervise undergrad students in physics labs.

Newfoundland And Labrador, Ca

• Designed, simulated and constructed micro-electro system to apply tunable linear/rotating electric fields to silica colloids. • Developed image processing algorithms in IDL for 2D image feature detection and 3D confocal image reconstruction.• Investigated the self-assembly of colloidal silica nanospheres under an external linear/rotating high-frequency alternating electric field using fluorescence and confocal microscopy.

Newfoundland And Labrador, Ca

Supervised undergrad students in physics labs.

Doctor Of Philosophy (Ph.D.), Experimental And Computational Soft Matter Physics, Quantitative Biology, Physical Chemistry

Master'S Degree, Experimental Soft Matter Physics

Bachelor'S Degree, Physics Major, Specialized In Optical Science And Technology

High School Diploma, Physical Sciences