Data Analytics

At its core, Locus is a data analytics company.  The power of the Locus standardized functional language is the ability to find, analyze, disambiguate and connect disparate parts of the global economic and business information. The Data team is developing the technology underpinning the functional information-based applications.

Machine Learning: A key responsibility of this group is building the machine learning methods to translate a variety of data about economic entities into our universal framework through the Locus Classification System. In doing so, they are building the tools to enable the rest of the team to process the vast world of economic data into an easily queryable and accessible form.

Analytics: The other key area of the Data team’s work is the development of analytic tools used to navigate economic databases based on Locus’ Functional Information System (FIS)™. The Data team is leading the effort to develop novel tools to explore and analyze the economic world through the Locus lens.

Through this work, we aspire to uncover the underlying structure of the global economy. In so doing, we hope to empower a new generation of policy makers, businesses, entrepreneurs, workers and future economic hackers.

 

  Lauren Hsu - Team Lead   Lauren joined the Locus team full-time after spending a summer at Locus as part of the internship program. She currently co-leads the data team and occasionally advises on theory development.  Prior to Locus, Lauren graduated from Columbia University with a BS in Biomedical Engineering. While at Columbia, she researched and helped design an implantable, biodegradable drug delivery device in the Sia Laboratory. In her free time, Lauren enjoys podcasts, snowboarding, and early choral music.

Lauren Hsu - Team Lead

Lauren joined the Locus team full-time after spending a summer at Locus as part of the internship program. She currently co-leads the data team and occasionally advises on theory development.

Prior to Locus, Lauren graduated from Columbia University with a BS in Biomedical Engineering. While at Columbia, she researched and helped design an implantable, biodegradable drug delivery device in the Sia Laboratory. In her free time, Lauren enjoys podcasts, snowboarding, and early choral music.

  Dr. Christopher Silkworth - Team Lead   Christopher Silkworth (a.k.a Dr. Silk) joined Locus to help develop and lead the data analysis efforts. Together with the rest of the Data team, he sifts through data to tackle questions that can only be answered with the aid of Locus classification system. Chris received his BS in Physics and Mathematics from The College of William and Mary before getting his PhD in Physics from UIC while working on the CMS experiment at CERN.

Dr. Christopher Silkworth - Team Lead

Christopher Silkworth (a.k.a Dr. Silk) joined Locus to help develop and lead the data analysis efforts. Together with the rest of the Data team, he sifts through data to tackle questions that can only be answered with the aid of Locus classification system. Chris received his BS in Physics and Mathematics from The College of William and Mary before getting his PhD in Physics from UIC while working on the CMS experiment at CERN.

  Stefanie Bourland   As a member of the Data team, Stefanie works on developing a machine-learning model to classify businesses. She received her Masters in Mathematics with a minor in Philosophy from Humboldt-Universität zu Berlin.  Before writing her thesis on the classification of symplectic and contact toric manifolds, she worked as a graduate analyst at a sustainability consulting firm. She is also an avid rail traveler, having taken the Trans-Siberian from Moscow to Beijing twice.

Stefanie Bourland

As a member of the Data team, Stefanie works on developing a machine-learning model to classify businesses. She received her Masters in Mathematics with a minor in Philosophy from Humboldt-Universität zu Berlin.

Before writing her thesis on the classification of symplectic and contact toric manifolds, she worked as a graduate analyst at a sustainability consulting firm. She is also an avid rail traveler, having taken the Trans-Siberian from Moscow to Beijing twice.

  Owen Charles   Owen joined the data team full time after participating in the Summer 2016 internship. He works with various machine learning models as part of Locus's Computer Aided Classification project.   Owen graduated with honors from the University of Chicago with a BS in Mathematics and Computer Science. 

Owen Charles

Owen joined the data team full time after participating in the Summer 2016 internship. He works with various machine learning models as part of Locus's Computer Aided Classification project. 

Owen graduated with honors from the University of Chicago with a BS in Mathematics and Computer Science. 

  George Hyun   George is a member of the Data team at Locus. His current project is focused on developing algorithms that translate natural language descriptions of companies into various types of Locus code abstractions.  George graduated with honors from the University of Chicago with a BS in Mathematics. He joined Locus immediately after graduating, having been an intern the summer prior. While in school, he also worked in a biochemistry lab and played a lot of violin. George remains an active violinist to this day.

George Hyun

George is a member of the Data team at Locus. His current project is focused on developing algorithms that translate natural language descriptions of companies into various types of Locus code abstractions.

George graduated with honors from the University of Chicago with a BS in Mathematics. He joined Locus immediately after graduating, having been an intern the summer prior. While in school, he also worked in a biochemistry lab and played a lot of violin. George remains an active violinist to this day.

  Atul Prasad   Atul joined Locus to solve natural language processing problems using machine learning. He works on computer-aided classification, developing algorithms that use financial documents to automatically classify companies into the Locus system.  Atul graduated with honors from the University of Chicago in 2017, with a BS in Mathematics and Computer Science. He likes Impressionist art, analytic philosophy, and word games.

Atul Prasad

Atul joined Locus to solve natural language processing problems using machine learning. He works on computer-aided classification, developing algorithms that use financial documents to automatically classify companies into the Locus system.

Atul graduated with honors from the University of Chicago in 2017, with a BS in Mathematics and Computer Science. He likes Impressionist art, analytic philosophy, and word games.

  Roshan Ramkeesoon   Roshan is a member of the Data team where he develops machine learning tools to expand the Locus database of economic information. When he’s not using statistical approaches to cluster his favorite financial documents, he spends his time engaging in conversations about the taxonomy of chemical and energy companies. Roshan graduated with a BS in Chemical Engineering from Columbia University. During his time there, he partnered with Engineers Without Border to design and monitor sustainable water and sanitation systems in Ghana. He enjoys traveling and seeing his favorite bands in concert.

Roshan Ramkeesoon

Roshan is a member of the Data team where he develops machine learning tools to expand the Locus database of economic information. When he’s not using statistical approaches to cluster his favorite financial documents, he spends his time engaging in conversations about the taxonomy of chemical and energy companies. Roshan graduated with a BS in Chemical Engineering from Columbia University. During his time there, he partnered with Engineers Without Border to design and monitor sustainable water and sanitation systems in Ghana. He enjoys traveling and seeing his favorite bands in concert.

  Leo Rayfiel   Leo is a member of the Data team, where he is a pioneer of computer-aided classification. He works on parsing financial documents and then training computers to read them. Leo graduated from Swarthmore College with a BA in History and Islamic Studies. His senior thesis was about urban planning in Amman, Jordan, where he spent his junior year.  Outside of Locus, you can find Leo playing experimental jazz with his band, Salt People.

Leo Rayfiel

Leo is a member of the Data team, where he is a pioneer of computer-aided classification. He works on parsing financial documents and then training computers to read them. Leo graduated from Swarthmore College with a BA in History and Islamic Studies. His senior thesis was about urban planning in Amman, Jordan, where he spent his junior year.

Outside of Locus, you can find Leo playing experimental jazz with his band, Salt People.

  Alex Tolkin   Alex is a member of the Data team working to automate the classification of companies with the Locus Model. He focuses on creating tools for inputting data and designing databases that enable analysis across diversified data types.  Alex graduated Summa Cum Laude from Washington University in Saint Louis with a degree in Political Science. In his free time he enjoys reading, board games, and exploring New York City’s parks.

Alex Tolkin

Alex is a member of the Data team working to automate the classification of companies with the Locus Model. He focuses on creating tools for inputting data and designing databases that enable analysis across diversified data types.

Alex graduated Summa Cum Laude from Washington University in Saint Louis with a degree in Political Science. In his free time he enjoys reading, board games, and exploring New York City’s parks.