The NYU McSilver Institute's AI Hub is focused on using the latest methods and innovations to help with policy decisions to address poverty.As a fellow of the institute, I consult on health AI related projects and research, and I lead conversations with prominent AI researchers.

Driving Health System Strategy with RWE Research:Leading analytics/real world evidence for major IDNs and payers, using NLP, machine learning, & LLMs to identify population mental health trends and problems. Collaborating with clinical, IT, & strategic leaders in healthcare on ethical & effective strategies in AICommercial Operations Leadership:Drove over a 10-fold increase in contacts at major health systems, IDNs, and insurers, government entitiesEstablished the Meeting of the Minds Podcast:Conversations where mental health, health strategy, and health equity intersect - reaching over 50,000 on LinkedIn and over 20,000 on YouTube

My mission is to help people make healthy decisions based on evidence and science.We can help eliminate preventable conditions by learning people’s clinical needs and executing the right engagement to influence them.Getting this right demands creativity, ethics, and accuracy as well as cooperation from healthcare leaders. My role is to help guide service, data science, and market communication to achieve these objectives.

Health systems have gone from a dearth of data to too much in too many places to handle. Analytics are only as good as the actions they inspire. Next Best Actions use this data to surface practical suggestions based on patient needs and health system goals/capacity.

I'm assisting a lead instructor in a 10 week Data Science course. We want people who complete the course to seek opportunities in Mentat & data science careers as well as understand how to use (and how not to use) data to make better decisions in their industries. My end of the bargain: - Assist students in how to use Python to create machine learning & artificial intelligence apps- Provide feedback/grading on the apps they develop- Provide coaching on problem solving and presenting solutions- 1:1 coaching during office hours

- Lead a cultural shift towards data & AI driven applications on sales and services teams- Work with cross-functional teams to develop & disseminate learning paths to grow healthcare-related sales & consulting skills in CRM, data science, digital marketing, & web content management. We've gone from 0 training available to a growing culture of learning- Python & Pandas to visualize & predict project burndown rates (based on hundreds of thousands of records) so that we know when and who to hire as we grow!- Natural Language Processing (NLP) using machine learning libraries within Python mined insights across tens of thousands of free-text project notes. 'The devil's in the details,' but so are the angels- Deep and dirty with cleanup of some of the scariest datasets imaginable - user-entered CRM data, so that we can mine deeper insights and work with third party data sets for better predictions

Sales Ops & Enablement demands can vary wildly by company. At IH, I work with sales, operations, finance, product, and marketing to help develop and execute a sales strategy. Without giving away too much (competitors are watching), that strategy is to give our sales execs the training, tools, and data they need to help healthcare marketing directors, VPs, and chiefs undertake major digital transformations. With years of experience in sales and ops, I wear many hats. Here are the top 3: 1. Training - Sales training in general needs an overhaul from the one (or two) and done annual training sessions. We now use sales pipeline data and training scorecards to identify training needs, solve problems, and measure results. There's no "Jump in the deep end and learn to swim" anymore here either. We teach you how to swim, give you floaties, and then throw you in the deep end. 2. Data - We used to capture sales activity, opportunities, and lead generation through a painful array of spreadsheets. Now, we access and report on this info easily through CRM. Data is power, and part of obtaining that power means using it to give your team the insights they need to drive business. Now, we're using a much more data driven approach for forecasting, goal & comp setting, sales coaching, and driving activity. 3. Smarketing (Sales + Marketing)- Again, don't want to reveal too much, but the current buyer journey in complex sales involves massive spurts of activity, followed by darkness, then neck-breaking activity again. Helping marketing drive a lock-step cadence with sales, we've been able to help the teams give our prospects what they want at each stage in their buyer journey. We've driven great results by focusing on training, fixing data problems, and getting departments to work with each other. Also charged with competitive intel and sales content library.If you'd like to learn about data driven sales+marketing or being a part of our team, feel free to message me!