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Great symposium and panels on "Building #Resilient #Healthcare Supply Chains for the Next #Pandemic" with academic and government speakers. Thank you Tinglong Dai and others Johns Hopkins Carey Business School for organizing. carey.jhu.edu/events/johns-h…

Thanks for an excellent symposium on "Building #Resilient #Healthcare #SupplyChains for the Next #Pandemic" Tinglong Dai @gokeraydin christopher tang @sridhartayur David Simchi-Levi @tammybechamm Johns Hopkins Carey Business School #covid19 #JHU

it's B! Cavello 🐝 Howdy B, you might find this tool produced by Kimia Ghobadi's team at CSSE at JHU interesting: covid-hospital-operations.com. (Came across it working on this project: docs.google.com/spreadsheets/d…)

🚨job alert🚨 Healthcare Data Scientist positions at Johns Hopkins Health System's Capacity Command Center who works closely with the School of Engineering at JHU. Data Scientist II: career4.successfactors.com/sfcareer/jobre… Senior Data Scientist: career4.successfactors.com/sfcareer/jobre…

We kicked off the new semester with Lauren Gardner, Gregory Falco, and our ever-growing CSSE at JHU team. I'm looking forward to all the exciting and impactful research that our students are doing

The plenary of #CORS2022 #informs2022vancouver on COVID-19 just started with a great intro by Tinglong Dai and featuring a fantastic board of panelists 👇

Amazing talk by @CancerOptim at #CORS2022 #INFORMS2022VANCOUVER

#InverseLearning in diet planning by Kimia Ghobadi from Johns Hopkins University A very interesting approach to design a personalized diet between current eating habit and ideal diet

Here is Kimia Ghobadi from JHU Civil and Systems Engineering presenting an exciting talk on using #inverse optimization and machine learning for diet planning, at #CORS2022 #INFORMS2022VANCOUVER

A great session co-chaired with Houra Mahmoudzadeh where she presented the use of inverse optimization to infer clinical guidelines in radiation therapy. It was great to see everyone in person again at #CORS2022 #informs2022vancouver

Off to a great start!! Excited to see our work on improving Dose-Volume objectives using inverse learning showcased at #AAPM2022

With pandemic fatigue that we're all feeling, navigating public health measures needs a fine balance between effectiveness, societal cost, and inclusiveness. For covid or other health emergencies Thank you @informs for this conversation

The unimaginable is happening at Sharif University tonight. Please be our voice… #MahsaAmini #opiran #sharif

One of the best things about attending #INFORMS2022 is seeing all our friends and colleagues again. We had good representation from CSSE at JHU with Farzin Ahmadi, @FardinGanjkhan1, Charalampos Avraam, Uzi (Yury) Dvorkin Missing a few in this pic but have Danielle Ripsman and Aliaa instead

My doctoral student Danielle Ripsman and I had a couple of very busy days presenting and networking at the #INFORMS2022 conference. It was great seeing friends and colleagues in person after 3 years! Thank you INFORMS for a great conference!

Thoughts from Kimia Ghobadi and Farzin Ahmadi on Monkeypox in an article in ORMS. Check this out: Monkeypox: Another Public Health Crisis. pubsonline.informs.org/do/10.1287/orm…

A research team including Kimia Ghobadi is using #AI to help patients create customized, achievable diets to improve their health. hub.jhu.edu/2022/11/17/art…

Data-driven diets: Using an AI learning process called "inverse optimization," #HopkinsEngineer Kimia Ghobadi is creating achievable nutrition plans that people can stick to. engineering.jhu.edu/news/one-size-…

Discover how researcher Kimia Ghobadi is using AI to create personalized nutrition plans that take people's tastes and lifestyles into account, making them easier to stick to Kimia Ghobadi The Academic Minute #AIResearch #AIInHealthCare academicminute.org/2023/04/kimia-…