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<h2 style="color: #191919">Research Talks - Global Health Innovators Talk Series</h2>
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<p class='blue-underline'>Global Health Innovators Talk Series hosts speakers creating an impact on Healthcare, AI. Privacy, Digital response for Pandemics, Agent-Based Modelling and more. <br> <br> Host: <a href="https://rsk97.github.io">Rohan Sukumaran</a> <br> <br> Organized by: Nina Rescic, Ramesh Raskar, Rohan Sukumaran, Shanice Hudson, and Tavpritesh Sethi <br> <br> Check <a href="https://youtube.com/playlist?list=PLOmv8ukoLmFFDjRUdCXBK-oXpLd1CI5lw">here</a> for the entire playlist of YouTube videos! <br> Know someone who we should invite or are you interested in speaking? Kindly reach out <a href="mailto:[email protected]">here</a>!</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 20 Dr. Thomas Kingsley (Mayo Clinic) </h3>
<p class="blue-underline"> 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 <br> <br>
<center> <iframe width="560" height="315" src="https://www.youtube.com/embed/QIkB809S4j4?start=21" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center> </p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 19 Dr. Michiel Niesen (Head of Biomedical Research, Nference) </h3>
<p class="blue-underline"> Dr. Niesen talked about nferences efforts on public and precision health initiatives especially in the context of the ongoing pandemic <br> <br>
<center> <iframe width="560" height="315" src="https://www.youtube.com/embed/FgStuFt9g4s?start=22" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/the-global-health-innovators-seminar-19-dr.-michiel-niesen-nference">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 18 Dr. Fergus Imrie, (UCLA) </h3>
<p class="blue-underline"> 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 <br> <br> <center>
<iframe width="560" height="315" src="https://www.youtube.com/embed/sUFsBgZFw-U" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/the-global-health-innovators-seminar-18-dr.-fergus-imrie">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 17 Dr. James Wilson, MD (M2 Medical Intelligence ) </h3>
<p class="blue-underline"> 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! <br> <br>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/hdXw44eZ9f4?start=20" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/the-global-health-innovators-seminar-dr.-james-m-wilson-a-quick-recap-of-ep-17">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 16 Dr. Nuria Oliver (ELLIS and VALANCIA4COVID) </h3>
<p class="blue-underline"> 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! <br> <br>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/fmdZmvoH8nQ?start=18" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/the-global-health-innovators-seminar-dr.-nuria-oliver-a-quick-recap-of-ep-16">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 15 Prof. Elissa Redmiles (Max Planck Institute) </h3>
<p class="blue-underline"> 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. <br> <br>
<center><iframe width="560" height="315" src="https://www.youtube.com/embed/4kGnsaYHr_4?start=19" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/the-global-health-innovator-seminar-prof.-elissa-redmiles-a-quick-recap-on-ep-15">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 14 Prof. Elaine Nsoesie (Boston University) </h3>
<p class="blue-underline"> 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. <br> <br>
<center> <iframe width="560" height="315" src="https://www.youtube.com/embed/0CgtqzNiM4E?start=21" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/the-global-health-innovators-seminar-prof.-elaine-nsoesie-a-quick-recap-of-ep-14">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 13 - Prof. Milind Tambe (Google AI/ Harvard) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/88xUw4fuh44?start=18" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center> <br><br> Check out the blog <a href="https://www.pathcheck.org/en/blog/blog/the-global-health-innovators-seminar-prof.-milind-tambe">here</a>.</p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 12 - Prof. Lav Varshney (UIUC) and Prof. Pranav Rajpurkar (Harvard Medical School) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/OUo8ZD3eC14" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 11 - Dr. Andrea Love (Vital Statistics Consulting) and Dr. Jessica Steier (Vital Statistics Consulting)</h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/4BC6IQknQaU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 10 - Shengpu Tang (PhD candidate, UMich Ann Arbor) and Prof. Christopher A Haines (Thomas Jefforson University Hospital) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/bXgUE2QjoxA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 9 - Serina Chang (PhD candidate, Stanford) and Prof. Cecilia Mascolo (University of Cambridge, UK) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/aXtEsRFzZCc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center> Check out the blog <a href="https://rohan-s16.medium.com/the-global-health-innovators-seminar-a-quick-recap-of-ep-9-197628febd49">here</a></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 8 - Diana Stansberry (PGI - Project Global Impact) and Prof. Peter J Hotez (Baylor College of Medicine ) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/jdja0DqNMmM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 7 - Dr. Bryan Wilder (Harvard, Schmidt Science Fellow) and Prof. Madhav Marathe (University of Virginia) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/QwWCpZkhU04" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 6 - Dr. Neecay Hudson (Hood Medicine) and Prof. Sriram Ganapaty (IISc) </h3>
<p class="blue-underline"> 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! <br> <br><center><iframe width="560" height="315" src="https://www.youtube.com/embed/6hTLiST4rOI" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 5 - Prof. B. Aditya Prakash and Alexander Rodriguez (GaTech), Prof. Nishant Chadha (IDF, Ashoka University) and Dr. Vito Janko (JSI) </h3>
<p class="blue-underline"> 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.<br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/S608kLCLZzw" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 4 - Dr. Piya Socar (Stanford), Prof. Katelyn Jetelina (UTHealth) and Prof. Antonio Fernández Anta (IMDEA Networks) </h3>
<p class="blue-underline"> 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.<br> <br> <center> <iframe width="560" height="315" src="https://www.youtube.com/embed/DhodFHLIHw0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 3 - Dr. Jonathan Berman (NYIT) and Dr. Rahul Siddharthan (Institute of Mathematical Sciences, India) </h3>
<p class="blue-underline"> 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.<br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/BZLyVoybGls" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 2 - Dr. Chitra Pattabiraman (NIMHANS), Dr. Vasantha Kr. Venugopal (CARING Research) and Nina Rescic (JSI) </h3>
<p class="blue-underline"> 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!<br> <br> <center> <iframe width="560" height="315" src="https://www.youtube.com/embed/W4aiEyt6Bj4" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center></p>
<h4 id="vaccine-dashboard" style="text-align:left; color:#4d4d4d">Episode 1 - Dr. Christin Glorioso (MIT), Prof. Gautam Menon (Ashoka university, IMSc) and Prof. Shahid Jameel (Ashoka University) </h3>
<p class="blue-underline"> 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! <br> <br> <center><iframe width="560" height="315" src="https://www.youtube.com/embed/1ScaKL9EVYI" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </center></p>
<!-- <h4 id="adverse-events" style="text-align:left; color:#4d4d4d">Adverse Events</h3>
<p class="blue-underline">In collaboration with data scientists and medical researchers from Pennsylvania State University, Mayo Clinic and the University of Texas MD Anderson Cancer Center, we have been working on analyzing reports on adverse events following vaccination. The Vaccine Adverse Events Reporting System (VAERS) is a post-licensure monitoring system that has been established to ensure the safety of vaccines. The VAERS collects and analyzes reports of adverse events that happen after vaccination. As part of our commitment to provide systems support for vaccine safety, we are conducting various data analytics studies on adverse events reported to the VAERS from December 15, 2020. The output of this ongoing research takes the form of a dashboard and research papers that improve our understanding of adverse events and leverage the generated insights to contribute to vaccine awareness efforts. A first paper has been submitted to JAMA. <br> <br> View the preprint: <a href="#">[INSERT TITLE]</a></p>
<h4 id="deep-abm" style="text-align:left; color:#4d4d4d">Deep Agent Based Modeling (DeepABM)</h3>
<p class="blue-underline">The current sanitary crisis has come at great cost to our economies. Sacrifices have already been made in order to curb the spread and safe lives. As hard choices still remain ahead of us, it is paramount to have a comprehensive understanding of how public health interventions, economic incentives and strategic lockdowns impact can be optimized to allow for economic recovery. The dynamic of these interactions, taking place while the epidemiological dynamics of the virus spread run in the background, is poorly understood. In macroeconomics, agent-based models (ABM) have been successfully used to understand these types of interactions among agents and institutions. Recent studies incorporate the COVID-19 spread into economic studies with the goal of modelling these interactions and eventually serve as gym environments for intervention optimization analysis. One bottle-neck of such models is the computational constraints. Realistic models with a sizable number of agents and interactions are unrealistic from the computational standpoint. Together with a group from MIT, we have been working on a framework called deepABM that uses the notion of convolution in a graph neural network architecture to model interactions between agents. By construction, these interactions can be parallelized and existing frameworks like Pytorch Geometric can be leveraged to efficiently implement realistic ABM models. This project is currently exploring such one implementation. <br> <br> View the preprint: <a href="#">[INSERT TITLE]</a></p> -->
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<h2 style="color: #191919">Publications</h2>
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<p class="blue-underline">Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto García-Agúndez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso. “Estimating Active Cases of COVID-19”, Aug. 2021. <a href="http://arxiv.org/abs/2108.03284">[PAPER]</a></p>
<br>
<p class="blue-underline">Rajat Jain, Utkarsh Gupta, Sethuraman TV, Rohan Sukumaran, Christin Glorioso MD PhD. "Analysis of Tata-1mg data for Covid-19 second wave prediction in India", Aug. 2021. <a href="https://www.researchgate.net/publication/353739305_Analysis_of_Tata-1mg_data_for_Covid-19_second_wave_prediction_in_India?channel=doi&linkId=610d5f201e95fe241ab450b2&showFulltext=true">[PAPER]</p>
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