John Halloran work email
- Valid
- Valid
- Valid
- Valid
- Valid
- Valid
John Halloran personal email
I'm interested in generative AI modeling (large language models, GANs, diffusion models), multi-modal AI models, and building fast/scalable machine learning methods for massive-scale data. I have experience building machine learning models (XGBoost, DNNs, NLP language models, time-series stochastic models, etc.) for: NLP question answering, fraud detection/prevention (at Amazon), speech recognition, and comp bio problems (proteomics/cancer genomics).More info available at: http://jthalloran.bitbucket.io
-
Principal Gen Ai Research ScientistLeidosIrvine, Ca, Us
-
Gen Ai Research ScientistLeidos Oct 2023 - PresentReston, Virginia, Us
-
Senior Nlp ScientistProtopia Ai May 2023 - Oct 2023Austin, Texas, Us-Trained/fine-tuned privacy-preserving foundation models (e.g., Llama 2, GPT-2, T5, etc.) for various tasks, such as instruction following, summarization, etc.-Trained and delivered an interactive GPT-2 model for live demos, capable of generating expected answers from fully randomized input prompts.-Derived general theoretical results for LLM inference and novel adversarial robustness frameworks -
Machine Learning ScientistAmazon Jun 2021 - Mar 2023Seattle, Wa, UsDeveloped machine learning models (e.g., XGBoost, NLP models, DNNs, etc.) to detect and prevent fraud activity in Amazon's online market. Leveraged generative AI (diffusion models/GANs) to generate unseen fraud patterns for early fraud prevention. -
Postdoctoral ScholarUc Davis Jul 2016 - Jun 2021Davis, California, UsResearching GPU/HPC/theoretical optimizations for machine learning (ML) systems, applying such optimizations to comp bio applications, and publishing results in top ML conferences and comp bio journals. -
Research AssistantUniversity Of Washington Sep 2010 - Mar 2016Seattle, Wa, UsDeveloped generative models for time-series problems in: automatic speech recognition, cancer detection, protein identification -
Research AssistantUniversity Of Hawaii At Manoa Sep 2009 - Aug 2010Honolulu, Hi, UsResearch focused on machine learning for wireless communications and data compression. -
Teaching AssistantUniversity Of Hawaii At Manoa Aug 2008 - Oct 2009Honolulu, Hi, Us
John Halloran Skills
John Halloran Education Details
-
University Of WashingtonMachine Learning -
University Of Hawaii At ManoaElectrical Engineering/Machine Learning
-
Seattle UniversityElectrical Engineering
-
Seattle UniversityMathematics
Frequently Asked Questions about John Halloran
What company does John Halloran work for?
John Halloran works for Leidos
What is John Halloran's role at the current company?
John Halloran's current role is Principal Gen AI Research Scientist.
What is John Halloran's email address?
John Halloran's email address is jo****@****vis.edu
What schools did John Halloran attend?
John Halloran attended University Of Washington, University Of Hawaii At Manoa, Seattle University, Seattle University.
What are some of John Halloran's interests?
John Halloran has interest in Machine Learning Applications, Dynamic Graphical Models, Online Learning, Wireless Communications, Control Systems, Signal And Image Processing, Data Compression.
What skills is John Halloran known for?
John Halloran has skills like Machine Learning, Graphical Models, Signal Processing, Matlab, C++, C, Bash, Python, Electrical Engineering, Tandem Mass Spectrometry, Latex, Large Scale Machine Learning.
Who are John Halloran's colleagues?
John Halloran's colleagues are Matthew Goodwin, Bethany Hetrick, Jason Gunther, Yong Lee, Louisa Pontonio, Jo Gill, Alexander Stamm.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial