James Arnemann Email and Phone Number
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Data scientist, previously machine learning engineer, deep learning research scientist, computational neuroscience researcher with publications at leading journals
Macmillan Learning
View- Website:
- macmillanlearning.com
- Employees:
- 837
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Macmillan LearningAustin, Texas Metropolitan Area
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Senior Data ScientistMacmillan Jun 2023 - PresentNew York, Ny, Us -
Senior Data ScientistToptal Apr 2021 - May 2023Work From Anywhere, Remote, Oo• Executed on short to medium term projects in multiple areas including working with an HR platform to help analyze their users habits, a DTC CPG company to help improve recommendations, and a physical and digital collectables company on understanding product and market analytics -
Machine Learning EngineerTwosense.Ai May 2019 - Apr 2021New York, New York, Us• Built models for behavioral biometrics and continuous multi-factor authentication in the field of cybersecurity.• Designed and implemented a typing signature machine learning model used in production.• Built deep learning models using accelerometer, GPS, and other mobile data to create multiple behavioral biometrics for a Department of Defense contract. -
Program Director Of Research ScienceNew York-Presbyterian Hospital Oct 2018 - Mar 2019New York, New York, Us• Built predictive models using historical data to predict the number of patients in the emergency departments at the different NYP hospitals• Cleaned and parsed millions of electronic health records and determined hospital acquired VTE (Venous thromboembolism) rates and metrics of how it's addressed by different hospitals/departments• Developed analytics for oncology rates of the different departments and different cancer types throughout NYPs ambulatory care network • Taught python programming and data analysis courses to 50+ NYP employees -
Data Science FellowInsight Data Science Jun 2018 - Sep 2018San Francisco, Ca, Us -
Deep Learning Research ScientistNational Energy Research Scientific Computing Center (Nersc) Dec 2017 - Jun 2018Berkeley, California, Us• Implemented deep learning architectures on cosmology simulations to understand and predict the parameters that govern the evolution of the universe• Collaborated with a diverse team from Lawrence Berkeley National Lab, Intel, and Cray to run these models at state of the art performance on the world's eighth largest supercomputer• Published in SC18 (The International Conference for High PerformanceComputing, Networking, Storage, and Analysis) -
Graduate Student ResearcherUc Berkeley Aug 2013 - May 2018Berkeley, Ca, UsLed multiple computational projects and developed novel algorithms in machine learning• Creating novel deep learning algorithms for encoding and decoding of intracranial EEG recordings of the auditory cortex of rats (ongoing).• Developed a novel exploration algorithm using Bayesian non-parametric statistical analysis and information theory (accepted to NIPS 2014)• Trained an autoencoder neural network to learn temporal dynamics of cellular automata evolution• Classified hand-written digits with an unsupervised neural network algorithm using only local learning rules • Mentored research assistants to take on original research projects -
Data Science Intern (Artificial Intelligence Group)Intel Corporation May 2017 - Sep 2017Santa Clara, California, Us• Implemented Neural Style Transfer with VGG-19 (Convolutional Neural Network)• Reconstructed audio spectrograms from hidden layer activations of Deep Speech 2 (many layered Bidirectional Recurrent Neural Network model for speech to text)• Developed a novel approach for style transfer applied to audio signals -
Graduate Student InstructorUc Berkeley 2010 - 2013Berkeley, Ca, Us• Effectively communicated challenging ideas to undergraduates in discussion sections, from big-picture applications of physics in “Physics for Future Presidents” to details of “Particle Physics”
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Research AssistantCase Western Reserve University May 2009 - Aug 2009Cleveland, Oh, Us• Conducted research in theoretical solid-state physics using Fortran and Mathematica that led to a paper published in Phys. Rev. B.• Mathematically modeled and visualized electronic band structure calculations of materials like ZnGeN2• Analyzed properties like the effective mass of electrons in the materials -
Undergraduate ResearcherWilliams College May 2007 - Aug 2007Williamstown, Ma, Us• Proved relationships between eigenvalues of unitary operators and roots of orthogonal polynomials on the unit circle
James Arnemann Skills
James Arnemann Education Details
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University Of California, BerkeleyPhysics (Artificial Intelligence) -
University Of California, BerkeleyPhysics
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University Of Illinois Urbana-ChampaignPhysics & Mathematics
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Oakton CollegeTransfer Student
Frequently Asked Questions about James Arnemann
What company does James Arnemann work for?
James Arnemann works for Macmillan Learning
What is James Arnemann's role at the current company?
James Arnemann's current role is Data Scientist, Machine Learning Engineer, Physicist.
What is James Arnemann's email address?
James Arnemann's email address is ja****@****tal.com
What is James Arnemann's direct phone number?
James Arnemann's direct phone number is +177372*****
What schools did James Arnemann attend?
James Arnemann attended University Of California, Berkeley, University Of California, Berkeley, University Of Illinois Urbana-Champaign, Oakton College.
What are some of James Arnemann's interests?
James Arnemann has interest in Education.
What skills is James Arnemann known for?
James Arnemann has skills like Machine Learning, Python, Statistics, Deep Learning, Data Science, Physics, Teaching, Science, Mathematical Modeling, Data Analysis, Programming, Algorithms.
Who are James Arnemann's colleagues?
James Arnemann's colleagues are Craig Bleyer, Deepa Naveen, Tegan Cenni, Itzel Ocampo Gil, Anthony Robichaud, Patrick Adams, Emma Temple.
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