Qianfan Wu
Biochemistry, Genetics and Molecular Biology · Indiana University
Publications
10
Citations
36
Est. group size
—
Recurring co-author estimate
Active years
9
Publishing since 2018
Qianfan Wu works across computational and quantitative methods, applying statistical modeling and machine learning to problems in genomics, finance, and economics. Recent work includes using deep learning to predict disease status from genomic data and mathematical modeling of financial order books, alongside studies on economic and fiscal questions.
Publication activity has been low and intermittent over the past decade, averaging about one paper per year with occasional busier years such as 2018 and 2024.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Order Book Queue Hawkes Markovian Modeling
SIAM Journal on Financial Mathematics · 2024
- Partisan Inequality in Property Tax Assessments: A Fiscal Burden on Political Minorities
SSRN Electronic Journal · 2024
- Supplementary Material, Codes, and Data for "Order Book Queue Hawkes Markovian Modeling"
Harvard Dataverse · 2023
- Order Book Queue Hawkes-Markovian Modeling
arXiv (Cornell University) · 2021
- Innovation α: What Do IP-Intensive Stock Price Indexes Tell Us about Innovation?
AEA Papers and Proceedings · 2020
- Deep Learning Methods for Predicting Disease Status Using Genomic Data.
PubMed · 2018
- Deep learning for predicting disease status using genomic data
2018
- Deep learning for predicting disease status using genomic data
2018
- SSRN Electronic Journal×3
- PubMed×1
- SIAM Journal on Financial Mathematics×1
- AEA Papers and Proceedings×1
- arXiv (Cornell University)×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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