Bradley GramHansen Email & Phone Number | I am an AI Research Scientist II at Dataminr, a leading AI platform that detects the earliest signals of high-impact events from publicly available data. I have been working at Dataminr for over two years, applying my expertise in deep learning, probabilistic machine learning, data science, and MLOps to develop and deploy cutting-edge algorithms and models that extract actionable insights from massive and noisy data streams. Before joining Dataminr, I was the CTO of Intelligent Networks, a startup that I co-founded and led, where I built probabilistic physics simulators for the utilities sector, using a combination of classification and regression techniques to forecast and detect anomalous alarms. I have a PhD in Machine Learning from the University of Oxford, where I conducted research on deep generative models, probabilistic graphical models, simulation and Bayesian statistics, and published several papers at top-tier conferences such as NeurIPS, AAAI, AISTATS, and ICML. I am passionate about advancing the frontiers of AI and solving challenging and impactful problems that benefit society and humanity.

Bradley GramHansen

I am an AI Research Scientist II at Dataminr, a leading AI platform that detects the earliest signal...
Seattle, Washington, United States

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Bradley GramHansen’s Location Seattle, Washington, United States

Bradley GramHansen’s Current Industry Dataminr

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AI Research Scientist II

2022-12-01 00:00:00 - Present

Co-Founder

2020-06-01 00:00:00 - 2021-06-01 00:00:00

Graduate Teaching Assistant

2016-10-01 00:00:00 - 2020-10-01 00:00:00

Machine Learning Researcher Internship

2018-06-01 00:00:00 - 2018-10-01 00:00:00

Teaching Assistant

2011-09-01 00:00:00 - 2015-07-01 00:00:00

Quantum Research Intern

2014-06-01 00:00:00 - 2014-09-01 00:00:00

Retail Operative

2010-04-01 00:00:00 - 2012-04-01 00:00:00

Customer Service

2008-10-01 00:00:00 - 2010-01-01 00:00:00

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Bradley GramHansen is a I am an AI Research Scientist II at Dataminr, a leading AI platform that detects the earliest signals of high-impact events from publicly available data. I have been working at Dataminr for over two years, applying my expertise in deep learning, probabilistic machine learning, data science, and MLOps to develop and deploy cutting-edge algorithms and models that extract actionable insights from massive and noisy data streams. Before joining Dataminr, I was the CTO of Intelligent Networks, a startup that I co-founded and led, where I built probabilistic physics simulators for the utilities sector, using a combination of classification and regression techniques to forecast and detect anomalous alarms. I have a PhD in Machine Learning from the University of Oxford, where I conducted research on deep generative models, probabilistic graphical models, simulation and Bayesian statistics, and published several papers at top-tier conferences such as NeurIPS, AAAI, AISTATS, and ICML. I am passionate about advancing the frontiers of AI and solving challenging and impactful problems that benefit society and humanity.

Bradley GramHansen has prior
experience in the following industries:
Intelligent Networks | University Of Oxford | Frontier Development Lab | University Of Nottingham | The University Of Nottingham | Primark Stores | Alliance Boots

Bradley GramHansen has the following professional experience:
Dataminr | Intelligent Networks | University Of Oxford | Frontier Development Lab | University Of Nottingham | The University Of Nottingham | Primark Stores | Alliance Boots