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Konrad Wenz Email & Phone Number

Senior Machine Learning Engineer at Hinge at Hinge
Location: United States, United States, United States 8 work roles 3 schools
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Current company
Role
Senior Machine Learning Engineer at Hinge
Location
United States, United States, United States

Who is Konrad Wenz? Overview

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Quick answer

Konrad Wenz is listed as Senior Machine Learning Engineer at Hinge at Hinge, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Konrad Wenz.

Konrad Wenz previously worked as Senior Machine Learning Engineer at Hinge and Senior Data Scientist, Machine Learning and Algorithms at Hinge. Konrad Wenz holds Doctor Of Philosophy (Ph.D.), Physics from Columbia University.

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Hinge

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Profile bio

About Konrad Wenz

Konrad Wenz is a Senior Machine Learning Engineer at Hinge at Hinge. He possess expertise in research, data analysis, matlab, python, statistics. He is proficient in Japanese and English.

Listed skills include Research, Data Analysis, Matlab, Python, and 1 others.

Current workplace

Konrad Wenz's current company

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Hinge
Hinge
Senior Machine Learning Engineer at Hinge
5TH FLOOR NEW YORK NY United States 10011
Website
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8 roles

Konrad Wenz work experience

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Senior Machine Learning Engineer

Current

New York, US

Jan 2024 - Present

Senior Data Scientist, Machine Learning And Algorithms

New York, US

Aug 2023 - Jan 2024

Data Scientist

Vancouver, BC, CA

  • Created an unbiased rating system to quantify trainer performance, and a complementary internal service to ensure the system’s ease-of-use by non-technical team members.
  • Performed detailed statistical analysis of user data, their behavior and sentiment, including NLP analysis of users’ comments.
  • Built a machine learning model to predict subscription cancellation amongst users and identified important clusters of low- and high-performing users.
  • Created a new recommender system for the application by building multiple algorithms, optimizing memory and computational time, and tying the system to the application’s backend.
  • Developed a signal-analyzing algorithm for a new handheld device by implementing robust real-time analysis of accelerometer and gyroscope signals.
  • Created an ETL pipeline.
Feb 2021 - Mar 2023

Phd Researcher

Columbia University In The City Of New York - Zelevinsky Lab
  • In Zelevinsky Lab I worked as a member of CENTREX (Cold Molecule Nuclear Time Reversal Experiment) which is a collaboration between Yale, Columbia, and University of Massachusetts. The experiment aims to achieve the.
  • Designed and wrote hardware control software with multithreading and custom graphical user interface in Python that led to easy and streamlined experimental control. It included extracting experimental data and.
  • Performed Monte Carlo simulations and optimization of our experiment using MATLAB to find an efficient design of one of the components. It will increase measured signal by a factor of 20.
  • Created a mathematical model of a novel molecule cooling process using continuous-time Markov chain, and performed Monte Carlo simulations of this model. The proposal opens a new frontier in the field of laser cooling.
  • Performed numerical simulations and built mathematical models of a quantum system. It included building a software package in MATLAB allowing my group and collaborators to easily set up and solve necessary equations.
  • Built and designed frequency quadrupling laser systems together with supporting electronics. This home-built system allowed us to cut the cost of the experiment without sacrificing any functionality.
May 2016 - Dec 2020

Graduate Research Assistant

Columbia University In The City Of New York - Sahin Lab
  • I worked on a project concentrated on stiffness mapping of neurites in MPP+ treated PC12 cells using atomic-force microscopy. The project tried to understand underlying causes of Parkinson's disease and determine.
  • Mapped stiffness of neurites in toxin-treated cells using atomic-force microscopy to observe neuronal degeneration seen also in Parkinson’s disease.
  • Wrote image analysis software in Python. Using two images, one with high contrast and one with small signal-to-noise ratio (stiffness map), I was able to automatically create graphs depicting stiffness along observed.
Jun 2015 - Sep 2015

Intern

Space Research Centre - Polish Academy Of Sciences
Sep 2010 - Oct 2010
Team & coworkers

Colleagues at Hinge

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3 education records

Konrad Wenz education

Doctor Of Philosophy (Ph.D.), Physics

Columbia University

Master'S Degree, Physics

University Of Warsaw

Bachelor'S Degree, Physics

University Of Warsaw
FAQ

Frequently asked questions about Konrad Wenz

Quick answers generated from the profile data available on this page.

What company does Konrad Wenz work for?

Konrad Wenz works for Hinge.

What is Konrad Wenz's role at Hinge?

Konrad Wenz is listed as Senior Machine Learning Engineer at Hinge at Hinge.

Where is Konrad Wenz based?

Konrad Wenz is based in United States, United States, United States while working with Hinge.

What companies has Konrad Wenz worked for?

Konrad Wenz has worked for Hinge, Lululemon Studio, Columbia University In The City Of New York - Zelevinsky Lab, Columbia University In The City Of New York, and Columbia University In The City Of New York - Sahin Lab.

Who are Konrad Wenz's colleagues at Hinge?

Konrad Wenz's colleagues at Hinge include Jake Giganti, Justin Mcleod, Vikram Thirumalai, Ethan Greenspan, and Ezra Gildesgame.

How can I contact Konrad Wenz?

You can use AeroLeads to view verified contact signals for Konrad Wenz at Hinge, including work email, phone, and LinkedIn data when available.

What schools did Konrad Wenz attend?

Konrad Wenz holds Doctor Of Philosophy (Ph.D.), Physics from Columbia University.

What skills is Konrad Wenz known for?

Konrad Wenz is listed with skills including Research, Data Analysis, Matlab, Python, and Statistics.

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