Poster Submissions
Join the Conversation
March 8-11
This year, we invite you to our first ever interactive Virtual Poster Session.
Click any of the links below and you will be greeted by a 2-minute recording of one of our excellent poster submissions this year. More than that, you will be given the opportunity to engage the conversation by leaving your thoughts and questions in the comment section below each video. Presenters will be available to answer questions throughout the week.
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Aoudi, Lama (MIT): "An Open-Source Computational Framework for the Scalable Application of Electrification Planning Models"
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Clochard, Axelle (MIT): "Using Network Analysis of Job Transitions to Inform Career Advice"
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Dawkins, Jennifer (MIT): "Predicting Clostridioides difficile recurrence from high dimensional microbiome data"
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Economides, Athena (Harvard University & ETH Zürich): "Segmentation of neuron-cells in whole mouse brains, from terabyte-sized 3D image data"
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Gidley, Lex (Western Oregon University): "Is t-SNE a swing and a miss for the high dimensional world of batting statistics?"
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Goeva, Aleksandrina (Broad at MIT & Harvard University): "Detecting disease relevant cells in the presence of incorrect labels in case-control single-cell transcriptomic studies"
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Gueta, Almog (Technion-- Israel Institute of Technology): "The predictive power of latent narratives from social-media on economic behavior"
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Landwehr, Helen (MIT): "Data Science and Natural Language Processing to Understand Tactics, Techniques and Procedures of Climate Change Disinformation in the EU"
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Li, Michelle (Harvard Medical School): "Deep Contextual Learners for Protein Networks"
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Lin, Yiling (University of Pittsburgh): "Innovation at Distance: Can Remote Teams Disrupt?"
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Majumdar, Swarnamouli (University of Massachusetts Lowell): "A feasibility study proposal on adoption of autonomous vehicles for Relief supply in rural India"
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McPherson, Rebecca (Morehouse School of Medicine): "The use of Magnetic Resonance Imaging in Alzheimer’s disease clinical trial research in the United States: Identifying of population disparities"
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Moe, Mina (Publicis Groupe): "A Hybrid Approach of Computer Vision Transfer Learning to Detect Diabetic Retinopathy"
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Papadopoulou, Ermioni (Harvard University & ETH Zürich): "Nature-inspired patterns for ultrafast nanoscale transport of droplets"
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Rajapakse, Clare (Central Bucks High School-- East): "Percent of Exposed Population Needed to Attain Herd Immunity"
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Revel, Manon (MIT): "Collective Decision-Making on Binary Issues"
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Schillerberg, Tayler (Auburn University): "Global Crop Failures and Associated trends of Agroclimate Conditions from 1982 to 2016"
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Sun, Jie (Harvard University): "Inferring the number of undiagnosed COVID-19 infections using Bayesian Markov Chain Monte Carlo"
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Swanberg, Marika (Boston University): "Differentially Private Sampling from Distributions"
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Trella, Anna (Harvard University): "Designing Reinforcement Learning Algorithms for Digital Interventions: Guidelines Before Going into the Field"
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Tsai, Yi-Ting (Harvard University): "Predicting Pediatric Dental Care Utilization in the U.S. during the COVID-19 Pandemic using Random Forest"
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Wu, Xinyi (MIT): "Higher-order network information improves overlapping community detection"
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Zeng, Cynthia (MIT): "Personalized Onset Risk Prediction of Chronic Diseases using Medical Claims Data"
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Zhang, Yan (Microsoft): "Introducing Diversity Metrics to Evaluate Recommender Systems"