Alexander Morrise, Phd

Alexander Morrise, Phd Email and Phone Number

Head of Graph Data Science and AI, building Louie.ai @ Graphistry, Inc.
Alexander Morrise, Phd's Location
San Francisco Bay Area, United States, United States
Alexander Morrise, Phd's Contact Details

Alexander Morrise, Phd work email

Alexander Morrise, Phd personal email

About Alexander Morrise, Phd

Machine learning data scientist, focused on delivering product to the end user in a Deep and fully online learning paradigm. Companies get an immediate adaptive learning framework providing real time insight and recommendation as data streams into the system. This technology may be applied to any problem from time series (eg finance), user behavioral data, content-content recommendation using context, and optimized decision and planning (eg, automatic campaigns and push notifications, manufacturing, transportation, and human management).Machine Learning and Data Science:Deep Learning and Architectures, Bayesian Inference and Machine Learning, Matrix Factorizations, Natural Language Processing, Text Mining, Context Aware Recommenders, Online Learning Environment, Algorithms, Correlation and Causation Analytics, Mathematical Analysis, Business Analytics, Technical Writing, Technical Sales, Dashboards. Theoretical Physics and Mathematics:Quantum Gravity, String Theory, Mathematics, Moduli Stabilization, Large N, AdS/CFT, Emergence, Statistical Physics and Critical Exponents, Tensor Analysis, Arithmetic Geometry, Langlands.

Alexander Morrise, Phd's Current Company Details
Graphistry, Inc.

Graphistry, Inc.

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Head of Graph Data Science and AI, building Louie.ai
Alexander Morrise, Phd Work Experience Details
  • Graphistry, Inc.
    Head Of Graph Data Science & Ai, Building Louie.Ai
    Graphistry, Inc. Nov 2021 - Present
    San Francisco, California, Us
    Graphistry brings visual graph intelligence to your big or complex data. It automatically transforms your data into interactive, visual maps built for the needs of analysts. Quickly surface relationships between events and entities with less time writing queries or wrangling data. As the first automatically GPU-accelerated platform, harness all of your data without worrying about scale, and pivot on the fly to follow anywhere your investigation leads you. Ideal for everything from security, fraud, and IT investigations to 360° views of customers and supply chains to mapping cancer mutations, Graphistry turns the potential of your data into human insight and value.
  • The Consilience Project
    Advisor
    The Consilience Project Jan 2021 - Present
    Catalyzing a Cultural RenaissanceThe Consilience Project is developing a transmedia body of social theory and philosophy that explains and seeks solutions to the unique challenges we face today. It focuses on the deeper, generator functions beneath the world’s major problems, drawing on the best of social theory while showing where existing theories and institutions are no longer adequate to fix the current problem landscape. The aim of the project is to help catalyze a cultural enlightenment that will develop a new set of shared values and capacities adequate to the needs of our time.
  • Tensorml
    Founder
    Tensorml Sep 2021 - Present
    Learn the art of the possible and get expert help ideating, designing, and building your next billion dollar company.
  • Arternal Crm
    Advisor
    Arternal Crm Jan 2019 - Present
    New York, Us
    If you deal in fine art or run a gallery, your success depends on building and nurturing meaningful relationships. ARTERNAL is a robust client relationship management (CRM) platform that helps you do that more powerfully.
  • Mediajel
    Advisor
    Mediajel Apr 2018 - Present
    Walnut Creek, Ca, Us
    Using predictive intelligence to drive results.
  • 8Tracks
    Advisor
    8Tracks Mar 2014 - Present
    San Francisco, California, Us
  • Stay Open Hotels
    Chief Technology Officer & Cofounder
    Stay Open Hotels Jan 2019 - Nov 2021
    Venice, California, Us
    STAY OPEN is a Sleep as a Service provider transforming any commercial real estate space into affordable, convenient, and socially engaging hotels and co-living properties. Booking a POD or room is as easy as it is to book a shared ride. STAY OPEN’s platform encourages and facilitates guests and residents to make social connections and find unique local experiences. STAY OPEN is based in Los Angeles and was founded in 2018. Curating organic experiences, democratizing where you stay. Let’s OPEN the world together.
  • Rhumbix
    Advisor
    Rhumbix Jul 2014 - Sep 2021
    San Francisco, California, Us
  • Tehama
    Advisor, Former Chief Scientist And Machine Learning Architect
    Tehama Oct 2016 - May 2019
    Ottawa, Ontario, Ca
    Securing the Future of Work, intelligently.
  • Pythian
    Advisor, Former Chief Data Scientist
    Pythian Jul 2014 - May 2019
    Ottawa, Ontario, Ca
    Pythian is a global leader in data consulting and managed services. Since 1997, we have specialized in planning, deploying, and managing business-critical data systems for large and mid-market enterprises. With the acquisition of TensorML, Pythian now offers state of the art machine learning solutions, modeling, and data science, leveraging the full potential of your data -- transforming a clients product into a technological currency that automatically senses, adapts, and responds to a changing marketplace. Pythian provides a fully integrated Intelligence layer that drives your business's strategic goals, automatically.
  • Boomtrain
    Advisor
    Boomtrain Mar 2014 - Jul 2017
    San Francisco, California, Us
  • Tensorml
    Founder, Ceo
    Tensorml Jan 2014 - Jan 2017
    Machine Learning in the world of heterogeneous multivariate and sparse data -- the Tensor domain.Extracting knowledge from complex data and creating adaptive, context aware, recommendation engines in an online learning framework using the full tensor quality of data. info@tensorML.com
  • Beats Music
    Lead Data Scientist
    Beats Music Sep 2012 - Jan 2014
    San Francisco, Ca, Us
    Creating an Adaptive, Contextual, and Intelligent music intuition recommendation server.Created numerous products using state of the art machine learning and inference techniques understanding the semantic context of the user. Created a novel playlist generator in both a generative and genetic framework that provides a unique soundtrack for a given user, perfect for their context. Developed user taste profiles in an online learning mode whereby new observations learn context and mood, driving the aware music recommender. Using various observations of features such as genre, artist, and track affinity, was able to provide personalized recommendations linking diverse product features.
  • Beats Music
    Senior Data Scientist
    Beats Music Sep 2012 - Oct 2013
    San Francisco, Ca, Us
    Creating an Adaptive, Contextual, and Intelligent music intuition recommendation server.
  • Mines.Io
    Advisor
    Mines.Io Sep 2013 - 2014
    Lightening fast, distributed custom machine learning algorithms
  • Idle Games
    Senior Data Scientist
    Idle Games 2012 - 2012
    San Francisco, Ca, Us
    Built a dedicated recommendation system that increases user interaction, retention and monetization.Further, created novel semantic analysis on users that identify player archetypes, discovering which ones correlate with monetization and retention, and whose outputs were used in ad targeting.Prototyped a simple fraud detection algorithm.Created a dynamic visualization tools to display users various demographic, gameplay, as well as semantic data.
  • Quid
    Prototype Developer & Software Engineer
    Quid 2011 - 2012
    Santa Clara, Ca, Us
    Software Engineer, Prototype Developer, Resident String Theorist.Prototype: sparse linear algebra for large scale network projections and visualization, non-negative matrix factorization and nonlinear regression, information theory, clustering algorithms for networks, natural language processing, machine learning techniques for classifying technologies and predicting market values and disruptive technology Implement: dedicated data structure based on the above categories and algorithms. Algorithms that update scores of new data coming in without having to refold and calculate an expensive matrix factorization. Created the so called, "Zoom and Enhance" allowing for fast search and visual network generation over huge data sets, all within a mathematical framework based on Category Theory. This makes precise and performant visual search a reality.Other responsibilities: Technical writing for clients, documentation, writing tests, and technical sales.I am passionate about finding systematic relationships between seemingly unrelated phenomena, visualizing them, and monetizing their insights.
  • Universidad De Santiago De Compostela & Ubi
    Postdoctoral Researcher
    Universidad De Santiago De Compostela & Ubi Sep 2009 - 2012
    Santiago De Compostela, A Coruña, Es
    Work on various topics in String theory ranging from model building, flux compactifications, moduli stabilization, Landscape and AdS/CFT.
  • Uc Santa Cruz
    Phd Theoretical Physics
    Uc Santa Cruz 2002 - 2009
    Santa Cruz, Ca, Us
    Studied topics in theoretical physics and mathematics, and carried out research in String Theory. Calculated instanton corrections in flux vacua, built model string theory laboratories, and wrote down a matrix theory for deSitter Space. Thesis title: "Landscape Transitions in String Theory Flux Vacua"
  • Berkeley
    Physics And Mathematics
    Berkeley 1997 - 2001
    Aside from coursework in the honors section of physics and mathematics, I took a total of 8 graduate classes, 6 in physics and 2 in mathematics while an undergraduate. I also worked in the Bustamente lab, helping to design and implement their laser tweezers used to test basic physics of DNA.

Alexander Morrise, Phd Skills

Machine Learning Python Algorithms Data Mining Mathematica Physics Mathematical Modeling Data Analysis Analytics Natural Language Processing Statistics Data Science Data Visualization Scalability Programming Latex Theoretical Physics Big Data Mathematical Analysis R Scientific Computing Time Series Analysis Technical Writing Ruby Applied Mathematics Predictive Modeling Statistical Modeling Bayesian Methods Business Intelligence Bayesian Statistics Monte Carlo Simulation Pattern Recognition Sales Neural Networks Nlp Lsi Mathematical Programming Business Analysis Mathematical Physics Bayesian Inference Image Processing Signal Processing Visualization Patent Drafting Technical Sales Systems Analysis Bayesian Networks Bayesian 3d Visualization Patents

Alexander Morrise, Phd Education Details

  • Princeton University
    Princeton University
    Theoretical And Mathematical Physics
  • Universidad De Santiago De Compostela
    Universidad De Santiago De Compostela
    String Theory
  • University Of California, Santa Cruz
    University Of California, Santa Cruz
    String Theory And High Energy Theory
  • University Of California, Berkeley
    University Of California, Berkeley
    Physics And Mathematics

Frequently Asked Questions about Alexander Morrise, Phd

What company does Alexander Morrise, Phd work for?

Alexander Morrise, Phd works for Graphistry, Inc.

What is Alexander Morrise, Phd's role at the current company?

Alexander Morrise, Phd's current role is Head of Graph Data Science and AI, building Louie.ai.

What is Alexander Morrise, Phd's email address?

Alexander Morrise, Phd's email address is de****@****ail.com

What is Alexander Morrise, Phd's direct phone number?

Alexander Morrise, Phd's direct phone number is +121482*****

What schools did Alexander Morrise, Phd attend?

Alexander Morrise, Phd attended Princeton University, Universidad De Santiago De Compostela, University Of California, Santa Cruz, University Of California, Berkeley.

What are some of Alexander Morrise, Phd's interests?

Alexander Morrise, Phd has interest in Social Services, Children, Economic Empowerment, Civil Rights And Social Action, Education, Environment, Poverty Alleviation, Science And Technology, Disaster And Humanitarian Relief, Human Rights.

What skills is Alexander Morrise, Phd known for?

Alexander Morrise, Phd has skills like Machine Learning, Python, Algorithms, Data Mining, Mathematica, Physics, Mathematical Modeling, Data Analysis, Analytics, Natural Language Processing, Statistics, Data Science.

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