Research Talks - Global Health Innovators Talk Series

Global Health Innovators Talk Series hosts speakers creating an impact on Healthcare, AI. Privacy, Digital response for Pandemics, Agent-Based Modelling and more.

Host: Rohan Sukumaran

Organized by: Nina Rescic, Ramesh Raskar, Rohan Sukumaran, Shanice Hudson, and Tavpritesh Sethi

Check here for the entire playlist of YouTube videos!
Know someone who we should invite or are you interested in speaking? Kindly reach out here!

Episode 20 Dr. Thomas Kingsley (Mayo Clinic)

Dr. Kingsley talked about the current MonkeyPox outbreak, and also pointed out to the differences and similarities it has with previous occurences of MonkeyPox and COVID-19

Episode 19 Dr. Michiel Niesen (Head of Biomedical Research, Nference)

Dr. Niesen talked about nferences efforts on public and precision health initiatives especially in the context of the ongoing pandemic

Check out the blog here.

Episode 18 Dr. Fergus Imrie, (UCLA)

Dr. Imrie htalked about Self Supervised Learning for Omics, and in particular how self supervised learning is helping to make sense of huge unlabelled data available

Check out the blog here.

Episode 17 Dr. James Wilson, MD (M2 Medical Intelligence )

Dr. Wilson and PathCheck President Graham Dodge had discussions ranging from different "pandemics" that we have seen, the fatigue associated with it, what we have learned new, and how we currently have better testing and reporting infra! Dr. Wilson also reminded us how predicting the human perception of the disease and keeping it separate from the prediction of the disease is important!

Check out the blog here.

Episode 16 Dr. Nuria Oliver (ELLIS and VALANCIA4COVID)

Dr. Oliver shared various aspects of predictive modeling using surveys, mobility data, ABMs and deep learning models. In particular she highlighted how their team worked in tandem with govt to enable effective data-driven health policy implications!

Check out the blog here.

Episode 15 Prof. Elissa Redmiles (Max Planck Institute)

Prof. Redmiles discussed about various notions of individual as well as collective good frameworks that influence adoption of social impact applications like contact tracing. She also discussed how privacy, data sharing etc have differential impact across groups.

Check out the blog here.

Episode 14 Prof. Elaine Nsoesie (Boston University)

Prof. Nsoesie focused on data gaps in the system and the inequalities that arise with it! We discussed how to build islands of trust and how to get community members actively involved.

Check out the blog here.

Episode 13 - Prof. Milind Tambe (Google AI/ Harvard)

Prof. Tambe talked about his recent paper with Google Research India on using Restless Multi-Armed Bandits (RMABs) to improve child and maternal care in India!

Check out the blog here.

Episode 12 - Prof. Lav Varshney (UIUC) and Prof. Pranav Rajpurkar (Harvard Medical School)

Prof. Lav talked about his recent paper on the Social Capital Swiss Cheese Model in the times of COVID-19 and Prof. Pranav discussed his ongoing efforts on ML for Health, particularly on Imaging!

Episode 11 - Dr. Andrea Love (Vital Statistics Consulting) and Dr. Jessica Steier (Vital Statistics Consulting)

Dr. Love and Dr. Steier discussed about their efforts in scientific outreach, particularly in public health and how it is important with the rampant spread of misinformation!

Episode 10 - Shengpu Tang (PhD candidate, UMich Ann Arbor) and Prof. Christopher A Haines (Thomas Jefforson University Hospital)

Shengpu talked about the recent work in MLHC that he co-led based on RL for clinical interventions and Prof. Haines discussed about the science, policy and history of the COVID-19 pandemic!

Episode 9 - Serina Chang (PhD candidate, Stanford) and Prof. Cecilia Mascolo (University of Cambridge, UK)

Serina talked about the recent works that appeared in KDD and Nature that she led. The work was based on using GNNs for understanding mobiltiy patterns to analyse the pandemic better and Prof. Mascolo discussed about recent work from her lab on using acoustic signals and deep learning to predict COVID-19!

Check out the blog here

Episode 8 - Diana Stansberry (PGI - Project Global Impact) and Prof. Peter J Hotez (Baylor College of Medicine )

Diana talks about the innovative single stop deplyoable toolkit which can help mitigate the healthcare infrastructure scarcity and Dr. Hotez talks about our learning from different type of vaccines and the unexpected effectiveness of certain platforms!

Episode 7 - Dr. Bryan Wilder (Harvard, Schmidt Science Fellow) and Prof. Madhav Marathe (University of Virginia)

Dr. Wilder discusses his past and ongoing work on ML for public health and the use of graphical models, belief propogation etc to increase the impact of public health on homeless youths in the US. Prof. Marathe discusses the recent works from his group and collaborators including using Agent Based Models (ABMs) to analyze various "what-if" questions in the pandemic!

Episode 6 - Dr. Neecay Hudson (Hood Medicine) and Prof. Sriram Ganapaty (IISc)

Dr. Hudson talks about her work at Hood medicine on combating misinformation, how they focused on getting reliable information, particularly targeted to people of color. Dr. Ganapaty focused on his work of using acoustic signals to predict COVID-19 and how crowdsourcing of this data was challenging and rewarding!

Episode 5 - Prof. B. Aditya Prakash and Alexander Rodriguez (GaTech), Prof. Nishant Chadha (IDF, Ashoka University) and Dr. Vito Janko (JSI)

Prof. Prakash and Alex focused on their lab's efforts on AI for Public Health, particularly AI for Pandemic Response. Prof. Chadha spoke more about the impact of lockdown and other interventions from an economic point of view and Dr. Janko focused on his groups efforts to understand the impact of non-countermeasure factors (school closure, mask adherence, etc.) in the COVID-19 pandemic.

Episode 4 - Dr. Piya Socar (Stanford), Prof. Katelyn Jetelina (UTHealth) and Prof. Antonio Fernández Anta (IMDEA Networks)

Dr. Socar discuessed about her non-profit TeachAIDs which pioneers in scietific outreach to inform people about AIDs and how this has helped her re-use some of the learning to spread information about COVID-19. Prof. Jetelina discussed about her efforts on the local epidemiologist blog htat focuses on simplyfing complex epidemiological findings to share with the common person and Prof. Fernández Anta discussed more about - Coronasurveys - using indirect survey mechanisms to estimate prevalence of an epidemic.

Episode 3 - Dr. Jonathan Berman (NYIT) and Dr. Rahul Siddharthan (Institute of Mathematical Sciences, India)

Dr. Berman discuessed about the history and impact of various diseases and the type of medical interventions that were used. Dr. Siddharthan talked about his work on using contact tracing as a method for epidemiological interventions.

Episode 2 - Dr. Chitra Pattabiraman (NIMHANS), Dr. Vasantha Kr. Venugopal (CARING Research) and Nina Rescic (JSI)

Dr. Pattabiraman discuessed about the emerging variants, how to track them and sequencing efforts done by her lab in India. Dr. Venugopal talked about contextual AI and its importance in clinical settings (imaging, EHR analysis etc), partiularly in the time of the pandemic. Finally we have Nina from Slovenia who discussed the winning XPRIZE solution on Pandemic Response developed by her team!

Episode 1 - Dr. Christin Glorioso (MIT), Prof. Gautam Menon (Ashoka university, IMSc) and Prof. Shahid Jameel (Ashoka University)

Dr. Glorioso discuessed her efforts on modelling the pandemic over the year and her experience in sharing it with the larger public. Prof. Menon discussed his recent study to learn the optimal vaccine policy particularly for India. Finally we have Prof. Jameel who talked about COVID-19 in India through the lens of Variants, modelling and reporting!