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个人简介
By training, I am an applied mathematician and have experience in systems biology, machine learning, data science. I always keen to apply my mathematical knowledge in computational biology problems. I developed numerical schemes to solve stiff differential equations ( singularly perturbed boundary value problems). During my post doctoral research, I developed dynamical models of neurite outgrowth and predicted potential drugs for CNS neuron regeneration. My recently research is focused in developing machine learning predictive model of COVID-19 patients, cardiac patients based on their EHR data.
研究兴趣
论文共 23 篇作者统计合作学者相似作者
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Frontiers in pharmacology (2023): 1225759
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America (2023)
medRxiv : the preprint server for health sciences (2023)
Aaron J. Weiss,Arjun S. Yadaw, David L. Meretzky,Matthew A. Levin,David H. Adams,Ken McCardle, Gaurav Pandey, R. Iyengar
Social Science Research Network (2022)
Mustafa M. Siddiq, Nicholas P. Johnson,Yana Zorina,Arjun Singh Yadaw,Carlos A. Toro,Jens Hansen,Vera Rabinovich, Sarah M. Gregorich,Yuguang Xiong,Rosa E. Tolentino,Sari S. Hannila,Ehud Kaplan,
Frontiers in Pharmacology (2022)
Jens Hansen,Mustafa M. Siddiq,Arjun Singh Yadaw,Rosa E. Tolentino, Vera Rabinovich, Gomathi Jayaraman, Mohit Raja Jain,Tong Liu,Hong Li, Yuguang Xiong,Joseph Goldfarb,Ravi Iyengar
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