MedBot is a capstone project being undertaken by a team of Columbia University students at the Data Science Institute. The team consists of Andrew Satz, Jonathan Galsurkar, Minghong Zheng, Shengyang Zhang and Janak A Jain.
The project is sponsored by Synergic Partners, A Telefonica company and involves creation of a chatbot service that can communicate with a user and provide informed medical advice related to medicinal and drug prescription. The chatbot would encapsulate capabilities involving natural language processing, artifical intellgience and machine learning. We are very happy to share that we are being helped by the wonderful team at Twilio for creating a compelling experience using their Programmable SMS service.
Here's a sneak-peak of MediBo in action. We will update this demo video as and when we add more capabilities to it.
| Andrew Satz is a Master's candidate in data science at Columbia University's School of Engineering. He comes with nearly 20 years of experience in the health insurance industry, with roles in risk management and safety. More recently, Andrew founded a data science consultancy firm focusing on the healthcare industry. Andrew is passionate about music, travel, and discovering innovative and realistic ways to utilize technology to solve the challenges of today and tomorrow. |
| Janak is currently an MS candidate at Columbia University's Data Science Institute. With a rich experience in market research and consulting across several categories, he wishes to explore future steps of data across industries such as marketing, smart cities and healthcare. An MBA Tech alumnus of SVKM's NMIMS, Mumbai - his work has moved along an interesting intersection of technological and managerial spaces. He knows Hindi, English, Marathi and French with qualifications of various levels. |
| Jonathan Galsurkar is a final year Master's student at Columbia University studying Data Science. His team came in first place at the 2017 Columbia Data Science Hackathon. He received his Bachelor’s degree in Computer Science and Mathematics from CUNY Hunter College. He is currently a Data Science Research intern at IBM, focusing on sentence/paragraph embedding and semantic searching techniques & applications. His main goal is to use data for social good. For fun he likes to play guitar, snowboard, and travel. |
| I am very interested in applying advanced models with my business sense to do user behavior analysis. In addition, I like travelling and outdoor activities to try different things and visit as many interesting places as I can. |
| Shengyang is a graduate student at Data Science Institute, Columbia University, currently in my last semester and plan to graduate in Dec. 2017. Programming Languages: Python, R, MATLAB, Java, C Big Data/Cloud Technologies: Hadoop, Hive, Spark, Google Cloud Platform, AWS Tools/Packages: Tensorflow, Caffe, Theano, DyNet, NLTK, Scikit-Learn, Numpy, SciPy, pandas, keras, RShiny, Git, Tableau, matplotlib |
The team invites members from the larger academic and industry community to provide feeback and comments on the work. Please get in touch with the team members if you would like to know more / provide feedback about the project.