Jacopo Cirrone

Jacopo Cirrone

Affiliated Faculty in the Division of Precision Medicine @NYU Grossman School of Medicine

New York, NY, US
EMAILS
c••••••@nyu.edu
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2021 — Present

Affiliated Faculty in the Division of Precision Medicine @NYU Grossman School of Medicine

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Manhattan, NY, US

EDUCATION

N/A

New York University

Master of Philosophy - MPhil

N/A

New York University

Doctor of Philosophy - PhD

N/A

University of Catania

Bachelor's degree

N/A

University of Catania

Master's degree

N/A

New York University

Master of Science - MS

ABOUT JACOPO CIRRONE

Short Bio:\"Professor Cirrone is a dedicated researcher with a deep passion for applying artificial intelligence to solve real-world challenges. His extensive experience spans financial forecasting and pioneering work in genetics, where he has applied AI to predict stock market trends, explore plant resilience genes, and innovate in human genome analysis.He leads a research lab focused on data science and machine learning. His team develops innovative methodologies for analyzing complex biological datasets. Their efforts significantly contribute to environmental sustainability and global food security.Prof. Cirrone\'s groundbreaking genomics research is revolutionizing agricultural practices, optimizing fertilizer use, and enhancing crop growth in nitrogen-deficient soils. Committed to addressing global challenges, his work aims to reduce pollution and alleviate hunger.In healthcare, Professor Cirrone concentrates on complex diseases, employing AI to develop novel diagnostics and therapies. His innovative approach combines deep learning image analysis with single-cell RNA sequencing to discover genetic biomarkers, advancing precision medicine by linking medical imaging with gene expression profiling.His research group\'s work on developing semi- and self-supervised learning techniques for medical imaging reduces reliance on annotated data, marking significant advancements in medical AI. Prof. Cirrone\'s interdisciplinary approach not only advances the understanding of complex human diseases but also extends to broader applications in biology, demonstrating his commitment to leveraging AI for societal benefit.Google Scholar: https://scholar.google.com/citations?hl=en & work on quite a few different projects.Most have to do with Artificial Intelligence and Machine Learning in healthcare and computational biology, as well as in time series forecasting and finance. Other projects involve large data and pattern matching.I hold a BS/MS in Computer Software Engineering, and my MS/Ph.D. from the Courant Institute of Mathematical Sciences at New York University (NYU) was focused on Machine Learning and Computational Biology.As a young and energetic professional, I am deeply passionate about software development and machine learning. I bring 15 years of experience in Python, Java, and C#, and I\'m always eager to tackle new challenges in the tech field.

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