Glenn Lawyer, Ph.D. Email and Phone Number
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• Cross-functional projects -- Career defined by working cross-functionally to resolve ambiguous, complex problems. Deliver rigorous and precise solutions by finding the right abstractions, statistical models, and data sources to quantify the domain.• End-to-end development and production release of models – Work full stack, from ETL and data wrangling to production monitoring of the model• Mentoring and developing DS culture – Model best practices, drive towards precision in language, and work to understand and guide people around their sticking points• Deep experience with data science and machine learning toolkit. SQL, R, Python, SciPy, Scikit, Generative AI, LLM, My teams have made important contributions in finance, psychology, medicine, and media.
Invoca
View- Website:
- invoca.com
- Employees:
- 220
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Staff Data ScientistInvoca Oct 2024 - PresentStaff DS on the Data Platform team; responsible for core models
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Staff Data ScientistStripe Nov 2022 - Mar 2024United StatesStaff DS on the Revenue and Financial Systems Team.• Shipped Misbilling Anomaly Detection MVP resolving a major cause of customer churn among Stripe’s largest clients ($1M +) Flagged $2.5M payouts in first month• Solved bottoms-up margin explainability satisfying board-level OKR and explaining any client’s margin in < 15 minutes• Collaborated on design and deployment of RAG/LLM-based SQL query generator enabling self-serve query generation saving ~ $100K in data science hours -
Head Of Data Science/Head Of CountryCyberhedge (Dba Intantgic) Sep 2018 - Nov 2022LuxembourgCompany's first hire w/ non-technical, remote founder. Develop core IP and production systems for a parametric cyber insurance policy. • Obtained a grant from the Finance Ministry covering the first 1.5 years of company operations and AWS grants covering 2 years of cloud infrastructure• Recruited and managed the core data and modeling team, won contracts from SP Global, AXA, and Llyods of London leading to a successful $4M funding round• Built and maintained production ETL pipelines and DS/ML algorithms capturing cyber/financial/market interactions for 7,000 publicly traded companies
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Scientific Advisor/Co-FounderMediavax Jan 2018 - Dec 2021Advisor/investor in a startup which analyzes social media to spot disinformation and bad actors in near-real time. • Developed initial machine learning models and strategic research roadmap • Recruited and guided development team (1 Ph.D., 1 MA)
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Founder/Head Of Data ScienceMachine Learning Solutions Sep 2017 - Sep 2018LuxembourgCommercialize my scientific work on network psychology by using ML to tailor and deliver personalized therapies. • Designed and delivered a customizable EMA solution enabling 9 clinical psychologists at 3 research clinics to treat 100s of patients and publish 7 scientific papers• Developed a triage model used in the emergency room at 2 Dutch hospitals for life-and-death decisions on COPD patients
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Ceo/FounderHealthcast Apr 2016 - Dec 2017Cincinnati, Ohio, United StatesCommercialize my post-doc research by launching a machine learning solution which helped parents distinguish allergens, colds, and more serious conditions.• Raised $150K in investment, participated in Forbes Top 30 accelerator • Lead a team of 9 to release an app enabling 2,000 daily active users to better track their family’s health
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Senior Postdoctoral ScientistMax Planck Institute For Informatics 2009 - Mar 2016Create ML-based clinical tools for epidemiology and personalized medicine.• Invented Expected Force algorithm for network centrality; awarded Best 100 papers of 2015 by Scientific Reports • Published the industry-standard tool for HIV subtyping depended on by USA, EU, and Asian national public health agencies; cited in > 350 other scientific works • Supervised 3 masters students, 2 Ph.D. students, and 1 post-doc -
Research ScientistUniversity Of Oslo Apr 2008 - Feb 2009Oslo, NorwayCommercialization of my Ph.D. thesis technique for increasing the resolution of pre-surgery MRI brain scans. -
Ph.D. CandidateUniversity Of Oslo 2004 - 2008Oslo Area, NorwayDeveloped machine learning models relating brain morphology, cognitive function, disease, and genetics.• Invented a novel statistical approach for detecting weak signal in MRI scans• Co-authored the reference publication on cortical thickness in adult patients with a diagnosis of schizophrenia• Architected and maintained 7 person computer lab for MRI image analysis
Glenn Lawyer, Ph.D. Skills
Glenn Lawyer, Ph.D. Education Details
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Machine Learning As A Statistical Tool In Schizophrenia Research
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Computer Science/Autonomous Systems
Frequently Asked Questions about Glenn Lawyer, Ph.D.
What company does Glenn Lawyer, Ph.D. work for?
Glenn Lawyer, Ph.D. works for Invoca
What is Glenn Lawyer, Ph.D.'s role at the current company?
Glenn Lawyer, Ph.D.'s current role is Data Scientist | Fintech, Healthcare, Startups.
What is Glenn Lawyer, Ph.D.'s email address?
Glenn Lawyer, Ph.D.'s email address is la****@****.mpg.de
What is Glenn Lawyer, Ph.D.'s direct phone number?
Glenn Lawyer, Ph.D.'s direct phone number is +120832*****
What schools did Glenn Lawyer, Ph.D. attend?
Glenn Lawyer, Ph.D. attended University Of Oslo, Royal Institute Of Technology.
What skills is Glenn Lawyer, Ph.D. known for?
Glenn Lawyer, Ph.D. has skills like Computational Biology, Bioinformatics, Machine Learning, Algorithms, Systems Biology, Sequence Analysis, Computer Science, Data Mining, Research, C, Latex, Python.
Who are Glenn Lawyer, Ph.D.'s colleagues?
Glenn Lawyer, Ph.D.'s colleagues are Kara Mauro, Ed Boyle, Autumn French, Isaac Bueno, Daniel Pramann, Tim Keresey, David Dodds.
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