Maureen Teyssier, Ph.D. Email & Phone Number
@with.co
1 phone found area 800
LinkedIn matched
Who is Maureen Teyssier, Ph.D.? Overview
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Maureen Teyssier, Ph.D. is listed as Head of Data at withco, a company with 15 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at with.co, phone signal with area code 800, and a matched LinkedIn profile for Maureen Teyssier, Ph.D..
Maureen Teyssier, Ph.D. previously worked as Head of Data at Link Logistics Real Estate and Member at Chief. Maureen Teyssier, Ph.D. holds Doctor Of Philosophy (Phd), Computational Astrophysics from Columbia University.
Email format at withco
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AeroLeads found 1 current-domain work email signal for Maureen Teyssier, Ph.D.. Compare company email patterns before reaching out.
About Maureen Teyssier, Ph.D.
I love to build products that have a large impact. Complexity is fun, but reducing complexity to build simply, cleanly and quickly is an even better game.I love data; I love working with it, understanding it, and talking about it. I enjoy understanding problems and finding the quickest path to a solution. I believe in open communication, sharing tasks and successes, and ownership without territories.Algorithm • Analytics • Big Data • Predictive Analytics • Descriptive Analytics • Batch Processing • Cloud Computing • Cluster Computing • Data Pipelines • Data Lake • Data Mining • Data Scientist • Data Engineer • Distributed File System • ETL • Knowledge Graph • Hadoop • In-memory computing • Machine Learning • MapReduce • Scala • Spark • Structured Data • Unstructured Data • Python • C • Leadership • Team Development • Strategic Planning • AI • Neural Net • CNN • Clustering • Ontology • PropTech • CRE • Commercial Real Estate
Listed skills include Astrophysics, Science, Physics, Data Analysis, and 32 others.
Maureen Teyssier, Ph.D.'s current company
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Maureen Teyssier, Ph.D. work experience
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Head Of Data
Current
Member
Chief Data Scientist
The Knowledge Graph is a paradigm shift in data organization, and as such, it has the ability to unlock products that were previously unfeasible. At Reonomy we have used the knowledge graph to create a comprehensive view of all of the commercial properties across the United States, their debt and transactional history, and most importantly, their complex.
Director, Data Science And Data Engineering
- 5 new machine learning models in production- built out data science and data engineering team- supported new functionality on API and webapp- data quality improvements- regular data delivery- process improvements, tooling improvements- Develop roadmap in key areas of DS / ML improvement (in existing product)- Support product and business evaluation of.
Public Speaker, Writing
Technical Speaker - Advocate for Women in Tech - Career Development - Building Teams - PodcastsTechnical Strata Superstreams (2021)Knowledge Connexions, World Knowledge Graph Conference (2020)Spark and AI Summit (2020)NYC Knowledge Graphs Meetup (2020)Strata Data Conference San Jose (2020)DataCouncil.ai NYC (2019)Round Table AI at Belgium Consulate (2019).
Technical Advisor
Technical Lead And Manager
I led the Knowledge Graph team, which built the centerpiece of enigma's core product offering.For over a year, I ran three teams: one handled all public data ingestion, one became the knowledge graph team, and one built the ML library that we used internally, but that we also handed off to a client deployment team for deployment as part of a multimillion.
Senior Data Scientist
I wrote a spec, and the core of an ensemble model (including CNNs), and then later led the team, for a project that was attempted twice before, and eventually led to the largest contract that enigma has to date.I led the POC project that led to a multi-year, multimillion dollar contract with a bank in the United States.As a senior data scientist, I worked.
Data Scientist
Venue DetectionThere is a great deal of value (both to users, and for a great many business applications) in knowing where people are, when. - Identified problems (contamination, under and over aggregation, mislabeling, etc.) in the data- Came up with a solution to solve these problems, and support multiple machine learning models- the solution involved.
Data Science Fellow
The Insight Data Science Program is a 6 week program for PhDs transitioning from Academia to Industry. The schedule is as follows: 1st week: determine a viable product and meet with companies and data scientists2nd - 4th weeks: code up a public data project, meet with hiring companies5th - 6th weeks: demo projects at companies, study for interviewsSummary.
Postdoctoral Researcher In Computational Astrophysics
-- Awarded Hubble Space Telescope Cycle 22 Research Grant-- Analyzed interaction between dark matter, gas and stars in some of the best cosmological simulations in the world
Graduate Student Researcher In Computational Astrophysics
-- Interpreted output (in IDL) of one of the highest resolution cosmological simulations (20TB) of the Milky Way in the world: Identified, visualized and published data anomalies of importance as well as original science goals-- Added a new particle type (black holes) to ENZO, to a world-class cosmological hydrodynamic/particle code (work in C/C++): Wrote.
Consultant Curator
-- Sought out, hand selected, organized thousands of images/vids for the space sciences section of the museum--Collaborated with editor on development of the exhibit (5 million visitors annually)
Reu (Nsf Grant Program) Research Assistant
How do you define the limits of your ability to discover objects in images, when they may or may not be present? How do you do this when you have both computers and human experts examining these images to find objects?One way is to create fake objects in images that can fool both computers and humans, and that's what I did.-- Wrote code to generate, embed.
Research Assistant At The Advanced Light Source With The Center For X-Ray Optics
Ran light modeling simulations/modeled extreme ultraviolet diffraction grating, generated specs for manufacturing, assisted in testing of the diffraction grating at the LBNL particle accelerator
Research Assistant At Lbnl Accelerator And Fusion Research Department
Theoretical work on Pondermotive Forces, Worked on a project to configure a 800nm Class IV laser to generate a terawatt pulse of energy.
Maureen Teyssier, Ph.D. education
Doctor Of Philosophy (Phd), Computational Astrophysics
Bs In Both Physics And Astrophysics
Frequently asked questions about Maureen Teyssier, Ph.D.
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What company does Maureen Teyssier, Ph.D. work for?
Maureen Teyssier, Ph.D. works for withco.
What is Maureen Teyssier, Ph.D.'s role at withco?
Maureen Teyssier, Ph.D. is listed as Head of Data at withco.
What is Maureen Teyssier, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @with.co for Maureen Teyssier, Ph.D. at withco.
What is Maureen Teyssier, Ph.D.'s phone number?
AeroLeads has found 1 phone signal(s) with area code 800 for Maureen Teyssier, Ph.D. at withco.
Where is Maureen Teyssier, Ph.D. based?
Maureen Teyssier, Ph.D. is based in New York City Metropolitan Area, United States, United States while working with withco.
What companies has Maureen Teyssier, Ph.D. worked for?
Maureen Teyssier, Ph.D. has worked for Withco, Link Logistics Real Estate, Chief, Reonomy, and Speaking.
Who are Maureen Teyssier, Ph.D.'s colleagues at withco?
Maureen Teyssier, Ph.D.'s colleagues at withco include Cameron Hardinge-Rooney.
How can I contact Maureen Teyssier, Ph.D.?
You can use AeroLeads to view verified contact signals for Maureen Teyssier, Ph.D. at withco, including work email, phone, and LinkedIn data when available.
What schools did Maureen Teyssier, Ph.D. attend?
Maureen Teyssier, Ph.D. holds Doctor Of Philosophy (Phd), Computational Astrophysics from Columbia University.
What skills is Maureen Teyssier, Ph.D. known for?
Maureen Teyssier, Ph.D. is listed with skills including Astrophysics, Science, Physics, Data Analysis, Python, Latex, Scientific Computing, and Statistics.
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