Arjun Yadaw
Lead Data Scientist at Icahn School of Medicine at Mount Sinai | New York, New York, United States
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Arjun Yadaw is a seasoned Senior Scientist at the Icahn School of Medicine at Mount Sinai, where he leverages over 12 years of experience in mathematical and predictive modeling within the healthcare sector. His current focus is on harnessing real-world data (RWD) and real-world evidence (RWE) to drive innovative solutions in various therapeutic areas, including infectious diseases, cardiology, autoimmune disorders, and rare diseases. At Mount Sinai, Arjun is deeply engaged in analyzing COVID-19 patient data through the Mount Sinai Data Warehouse, where he develops sophisticated predictive models aimed at forecasting vital outcomes based on comprehensive patient encounter data.
His expertise in deep neural networks (DNN) and predictive modeling allows him to create robust algorithms that can significantly enhance patient care and treatment strategies. One of his notable projects involved building a predictive model for cardiac patients' preoperative data, which has the potential to improve surgical outcomes and optimize resource allocation in clinical settings. Arjun's proficiency in programming languages such as R and MATLAB, coupled with his skills in data visualization and numerical linear algebra, enables him to effectively communicate complex data insights to both technical and non-technical stakeholders.
Arjun's passion for data science in healthcare is evident in his commitment to translating intricate datasets into actionable insights that can inform clinical decisions and policy-making. His work not only contributes to advancing medical research but also plays a crucial role in enhancing patient outcomes and healthcare delivery systems. As he continues to explore the intersection of data science and medicine, Arjun remains dedicated to pushing the boundaries of predictive analytics in the healthcare landscape.
Lead Data Scientist at Icahn School of Medicine at Mount Sinai in September 2017 to Present
Adjunct Assistant Professor at Icahn School of Medicine at Mount Sinai in May 2021 to Present
Data Scientist and Strategy Leader at Axle Informatics in April 2021 to Present
Postdoctoral Fellow & Senior Data Scientist at Icahn School of Medicine at Mount Sinai in August 2010 to August 2017
Post Doctoral Fellow at Centre for Mathematical Sciences, Lund University in October 2009 to July 2010
Visiting Scientist at Department of Mathematics, University of Fribourg, Switzerland in June 2009 to September 2009
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Experimental Design
Python (Programming Language)
Predictive Modeling
Natural Language Processing (NLP)
Deep Neural Networks (DNN)
Long Short-term Memory (LSTM)
Convolutional Neural Networks (CNN)
Databases
Project Management
Real World Data (RWD)
Real World Evidence (RWE)
PySpark
Analytics
SQL
Causal Inference
Mathematical Modeling
Numerical Analysis
LaTeX
Biochemistry
Research
Machine Learning
Bioinformatics
Statistics
Science
Statistical Modeling
Data Analysis
Machine learning
Data Visualization
Mathematica
Matlab
R
Python
Git
Computational Modeling
Applied Mathematics
Computational Neuroscience
Computational Mathematics
Numerical Linear Algebra
Dynamical Systems
ODE
PDE
ImageJ
Neuron cell signaling
PK/PD
Virtual cell
SimBiology
mach
Data Science
Predictive Modeling
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Discover more about Icahn School of Medicine at Mount SinaiWhat is Arjun Yadaw email address?
Email Arjun Yadaw at [email protected] and [email protected]. This email is the most updated Arjun Yadaw email found in 2026.
How to contact Arjun Yadaw?
To contact Arjun Yadaw send an email to [email protected] or [email protected].
What company does Arjun Yadaw work for?
Arjun Yadaw works for Icahn School of Medicine at Mount Sinai
What is Arjun Yadaw's role at Icahn School of Medicine at Mount Sinai?
Arjun Yadaw is Lead Data Scientist
What is Arjun Yadaw's Phone Number?
Arjun Yadaw's phone (212) ***-*666
What industry does Arjun Yadaw work in?
Arjun Yadaw works in the Biotechnology Research industry.
Arjun Yadaw Email Addresses
Arjun Yadaw Phone Numbers
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