Jessy Xinyi Han
A5052544095- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Game Theory and Applications
- Lymphoma Diagnosis and Treatment
- Crime Patterns and Interventions
- Regulation and Compliance Studies
- T-cell and Retrovirus Studies
- CAR-T cell therapy research
- Policing Practices and Perceptions
- Gene expression and cancer classification
- Histone Deacetylase Inhibitors Research
- Artificial Intelligence in Healthcare
- Ethics and Social Impacts of AI
- CNS Lymphoma Diagnosis and Treatment
- Immune Cell Function and Interaction
- Advanced Causal Inference Techniques
- Chronic Lymphocytic Leukemia Research
Massachusetts Institute of Technology
2021-2024
Columbia University
2020
The problem of social influence maximization is widely applicable in designing viral campaigns, news dissemination, or medical aid. State-of-the-art algorithms often select “early adopters” that are most central a network unfortunately mirroring exacerbating historical biases and leaving under-represented communities out the loop. Through theoretical model biased networks, we characterize intricate relationship between diversity efficiency, which sometimes may be at odds but also reinforce...
We are interested in developing a data-driven method to evaluate race-induced biases law enforcement systems. While the recent works have addressed this question context of police-civilian interactions using police stop data, they two key limitations. First, bias can only be properly quantified if true criminality is accounted for addition race, but it absent prior works. Second, systems multi-stage and hence important isolate source within "causal chain interactions" rather than simply...
Systemic racism, an issue deeply entrenched in various sectors of American society, continues to cast a shadow over the nation's progress towards equality and justice. This paper showcases some generative artificial intelligence (AI) potential identify racial bias combat structural barriers that perpetuate discrimination United States. Specifically, three research groups affiliated with MIT's Initiative on Combatting Racism (ICSR) present case study applications utilize AI innovative...
In networks with a minority and majority community, it is well-studied that minorities are under-represented at the top of social hierarchy. However, researchers less clear about representation from lower levels hierarchy, where other disadvantages or vulnerabilities may exist. We offer more complete picture disparities each level empirical evidence exhibits two opposite phases: higher rungs ladder, community decreases; but, in which populous, as you ascend, improves. refer to this opposing...
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We are interested in developing a data-driven method to evaluate race-induced biases law enforcement systems. While recent works have addressed this question the context of police-civilian interactions using police stop data, they two key limitations. First, bias can only be properly quantified if true criminality is accounted for addition race, but it absent prior works. Second, systems multi-stage and hence important isolate source within "causal chain interactions" rather than simply...
In networks with a minority and majority community, it is well-studied that minorities are under-represented at the top of social hierarchy. However, researchers less clear about representation from lower levels hierarchy, where other disadvantages or vulnerabilities may exist. We offer more complete picture disparities each level empirical evidence exhibits two opposite phases: higher rungs ladder, community decreases; but, in which populous, as you ascend, improves. refer to this opposing...
In networks with a minority and majority community, it is well-studied that minorities are under-represented at the top of social hierarchy. However, researchers less clear about representation from lower levels hierarchy, where other disadvantages or vulnerabilities may exist. We offer more complete picture disparities each level empirical evidence exhibits two opposite phases: higher rungs ladder, community decreases; but, in which populous, as you ascend, improves. refer to this opposing...