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John Urbanik

Fellow

Senior Data Scientist at Recursion

Brooklyn, New York

Section title

John Urbanik's Email Addresses & Phone Numbers

John Urbanik's Work Experience

Recurse Center

Fellow

May 2020 to June 2020

Brooklyn, New York, United States

HVN

Senior Software Engineer

March 2019 to April 2020

New York, United States

otto hearing

Chief Technology Officer & Founder

February 2019 to March 2020

Greater New York City Area

John Urbanik's Education

Princeton University

BSE, Electrical Engineering

2009 to 2013

John Urbanik's Professional Skills Radar Chart

Based on our findings, John Urbanik is ...

Welcoming
Purposeful
Expressive

What's on John Urbanik's mind?

Based on our findings, John Urbanik is ...

50% Left Brained
50% Right Brained

John Urbanik's Estimated Salary Range

About John Urbanik's Current Company

Recurse Center

Self-directed programming retreat. Continued volunteering on projects related to COVID-19. Mentored other retreat participants on signal processing and machine learning, while self-studying category theory, computational epidemiology, and network theory.Worked on open source predictive caching project, playlist sharing app, and research into automata with dynamic rules.

Frequently Asked Questions about John Urbanik

What company does John Urbanik work for?

John Urbanik works for Recurse Center


What is John Urbanik's role at Recurse Center?

John Urbanik is Fellow


What is John Urbanik's personal email address?

John Urbanik's personal email address is j****[email protected]


What is John Urbanik's business email address?

John Urbanik's business email addresses are not available


What is John Urbanik's Phone Number?

John Urbanik's phone (212) ***-*320


What industry does John Urbanik work in?

John Urbanik works in the Computer Software industry.


About John Urbanik

📖 Summary

Fellow @ Recurse Center Self-directed programming retreat. Continued volunteering on projects related to COVID-19. Mentored other retreat participants on signal processing and machine learning, while self-studying category theory, computational epidemiology, and network theory.Worked on open source predictive caching project, playlist sharing app, and research into automata with dynamic rules. From May 2020 to June 2020 (2 months) Brooklyn, New York, United StatesSenior Software Engineer @ HVN Engineer building data pipelines and conducting spatiotemporal analysis with those pipelines. Also involved in improving search infrastructure and algorithms, performance engineering, and developing engineering culture. From March 2019 to April 2020 (1 year 2 months) New York, United StatesChief Technology Officer & Founder @ otto hearing • Developed software to improve the listening experience for people with hearing impairments. Built an at home hearing test capable of augmenting standard audiogram with information about sensitivity / dynamic range.• Utilized hearing test results to adapt the output of a computer in real time to match hearing impairment. Explored methods (ML and classical DSP based) to improve perceptual qualities of music including predictive dynamic range compression, multiband FIR filter design, adaptive Q bandpass filters, and deep differentiable DSP. From February 2019 to March 2020 (1 year 2 months) Greater New York City AreaLead Data Scientist / Data Engineer @ Predata • Developed regularized hierarchical time-series regression + classification models using techniques from robust/causal inference for prediction of political events from web traffic metadata.• Developed unsupervised time-series models (anomaly detection, decomposition) utilizing techniques from network theory and knowledge graph engineering in response to business need for interpretable models.• Built high-cardinality time-series data warehouse with 500M time series (>1E13 points) per commodity instance.• Maintained and rearchitected data pipeline, cutting compute cost per model of nightly processing by ~10x.• Developed processes and pipeline for repeatable, measurable data science experiments, cutting data science and analysis iterations from weeks to days.• Managed data science/engineering organization, growing it from 1 to 6 people. Championed data quality, EDA, and statistical rigor across the company. From May 2015 to April 2018 (3 years) Greater New York City AreaForward Deployed Engineer @ Palantir Technologies • Led a team that developed and E2E product that utilized gradient boosting and mixed-integer linear programming to allow non-technical users to specify constraints and preferences interactively to optimize television advertising scheduling to maximize viewership through a user-friendly interface.• Initiated cultural and process changes through feedback to management. More details on request. From August 2014 to May 2015 (10 months) Greater New York City AreaSoftware Engineer @ Poptip (acquired by Palantir Aug 2014) • Architected real-time non-parametric Bayesian topic models for detecting changes in themes in Twitter streams.• Implemented data pipeline running NER, spam detection, and other NLP tasks on up to >100k tweets per minute. From September 2013 to August 2014 (1 year) Greater New York City AreaCo-Founder / CTO @ beertending • Built faceted search engine and qualitative recommender system for beer. • Developed business model and platform for crowd-sourced craft beer happy hours. From October 2012 to June 2013 (9 months) Princeton, NJResearcher (Sharad Malik) @ Princeton University Developed algorithms for DARPA IRIS program, focusing on automated reverse engineering of logic circuits from gate level to a functional level. Utilized techniques from SAT solving, graph theory, and machine learning. From June 2011 to June 2013 (2 years 1 month) Princeton, NJSenior Data Scientist @ Recursion Remote


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John Urbanik's Personality Type

Extraversion (E), Intuition (N), Feeling (F), Judging (J)

Average Tenure

1 year(s), 3 month(s)

John Urbanik's Willingness to Change Jobs

Unlikely

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