ukarvind · Associate Professor, Department of Computational Medicine & Bioinformatics · ✭✭

Thank you @Shashi for keeping us on point and coordinating our discussions. Thank you for the opportunity to be part of this. Looking forward to continued participation on these and other initiatives. (View Post)

Would strongly suggest that any predictive modeling with data of such heterogeneity always include not just point estimates (i.e predictions) but also related uncertainty (e.g: prediction intervals).… (View Post)

In reply to @Karan and @Shashi questions about data sources, perhaps looking into Instagram, or phone-based gaming apps as well. An important thing to track (regardless of source) is both the baselin… (View Post)

atleast 3 technological solutions come to mind (many others exist): (1) wearables/phone-apps, appropriately calibrated to assess episodes of potentially concerning behaviors, (ii) AI chatbots (in mul… (View Post)

@NickOttens I would also suggest bringing in elements of "how to manage change", "how to continuously learn", beyond conventional technical training so that students get access to… (View Post)