Sebastian Feese
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Sebastian Feese Email & Phone Number

AI Engineering Chapter Lead | Chief AI Office at UBS
Location: Zurich, Switzerland 7 work roles 3 schools
1 work email found @antavi.ch LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email s****@antavi.ch
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Current company
UBS
Role
AI Engineering Chapter Lead | Chief AI Office
Location
Zurich, Switzerland
Company size
118049 employees

Who is Sebastian Feese? Overview

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Quick answer

Sebastian Feese is listed as AI Engineering Chapter Lead | Chief AI Office at UBS, a with 118049 employees, based in Zurich, Switzerland. AeroLeads shows a work email signal at antavi.ch and a matched LinkedIn profile for Sebastian Feese.

Sebastian Feese previously worked as CTO and Co-Founder at Antavi Gmbh and CTO & Co-Founder at Antavi Gmbh. Sebastian Feese holds Doctor Of Philosophy (Phd), Elektrotechnik Und Elektronik from Eth Zürich.

Company email context

Email format at UBS

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{first}@antavi.ch
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AeroLeads found 1 current-domain work email signal for Sebastian Feese. Compare company email patterns before reaching out.

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Profile bio

About Sebastian Feese

Sebastian Feese is a AI Engineering Chapter Lead | Chief AI Office at UBS. He possess expertise in programming, java, activity recognition, machine learning, sensor data analysis and 13 more skills. He is proficient in Englisch.

Listed skills include Programming, Java, Activity Recognition, Machine Learning, and 14 others.

Current workplace

Sebastian Feese's current company

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UBS
Ubs
AI Engineering Chapter Lead | Chief AI Office
Zurich, Switzerland
Website
ubs.com
Employees
118049
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Company profile
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7 roles

Sebastian Feese work experience

A career timeline built from the work history available for this profile.

Ai Engineering Chapter Lead | Chief Ai Office

Ubs

Zurich, Switzerland

Cto & Co-Founder

Antavi Gmbh

• Developed company vision and pitched company to investors, media and clients• Consulted and acquired customers• Lead data analytics and software development, incl. programming in Python, Java and JS• Managed product and projects, incl. stakeholder management, requirements engineering, technology selection, backlog grooming, implementation, operations and maintenance

Eth Pioneer Fellow

Eth Zürich

Zürich, Ch

• Commercialised the CrowdView research project and brought it to market• Founded antavi and developed company following the lean startup method

May 2014 - Dec 2015

Phd Student | Research Assistant (Wearable Computing Lab)

Eth Zürich

Zürich, Ch

• Researched and applied machine learning and data mining methods for automatic social behavior sensing with wearable sensors and smartphones• Interdisciplinary collaboration in EU and SNF research projects• Published 9 papers as first author and presented results at int. conferences• Supervised 12 Bachelor and Master students during their theses• Teaching Assistant Wearable Systems I• Thesis: Observing Teams with Wearable Sensors• Advisors: Prof. Gerhard Tröster, Prof. Klaus Jonas

May 2009 - Apr 2014

Student Assistant

Tu Berlin

London, Gb

• Researched and evaluated charge pump circuits for energy harvesting applications

Nov 2007 - Mar 2008

Werkstudent

Nokia Siemens Networks

Espoo, Southern Finland, Fi

• Tested UMTS Node-B transport software• Wrote and maintained debugging guide• Designed and developed Java tool for efficient logfile analysis based on the Eclipse RCP framework

Mar 2006 - Sep 2007
Team & coworkers

Colleagues at UBS

Other employees you can reach at ubs.com. View company contacts for 118049 employees →

AC Alejandro Cabezas Alejandro Cabezas Colleague at UbsNew York, United States View → TG Thomas Ghita Thomas Ghita Colleague at UbsNew York, United States View → DF Douglas Freeman Douglas Freeman Colleague at UbsNew York, United States View → EV Eric Viloria, Cfa Eric Viloria, Cfa Colleague at UbsNew York City Metropolitan Area, United States View → MW Mateusz Woźny Mateusz Woźny Colleague at UbsWroclaw Metropolitan Area, Poland View → JO Javier Ortega Tobalina Javier Ortega Tobalina Colleague at UbsMadrid, Community Of Madrid, Spain View → RL Robert Lasota Robert Lasota Colleague at UbsCracow Metropolitan Area, Poland View → JM James Macdonald, Cfp®, Cima® James Macdonald, Cfp®, Cima® Colleague at UbsTroy, Michigan, United States View → TS Tajbir Singh Tajbir Singh Colleague at UbsUnited Kingdom View → AT Abhimanyu T., Frm Abhimanyu T., Frm Colleague at UbsNew Delhi, Delhi, India View →
3 education records

Sebastian Feese education

Doctor Of Philosophy (Phd), Elektrotechnik Und Elektronik

Eth Zürich

Dipl. Ing., Computer Engineering

Technische Universität Berlin

Student Exchange, Computer Engineering

Rmit University
FAQ

Frequently asked questions about Sebastian Feese

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

What company does Sebastian Feese work for?

Sebastian Feese works for UBS.

What is Sebastian Feese's role at UBS?

Sebastian Feese is listed as AI Engineering Chapter Lead | Chief AI Office at UBS.

What is Sebastian Feese's email address?

AeroLeads has found 1 work email signal at @antavi.ch for Sebastian Feese at UBS.

Where is Sebastian Feese based?

Sebastian Feese is based in Zurich, Switzerland while working with UBS.

What companies has Sebastian Feese worked for?

Sebastian Feese has worked for Ubs, Antavi Gmbh, Eth Zürich, Tu Berlin, and Nokia Siemens Networks.

Who are Sebastian Feese's colleagues at UBS?

Sebastian Feese's colleagues at UBS include Alejandro Cabezas, Thomas Ghita, Douglas Freeman, Eric Viloria, Cfa, and Mateusz Woźny.

How can I contact Sebastian Feese?

You can use AeroLeads to view verified contact signals for Sebastian Feese at UBS, including work email, phone, and LinkedIn data when available.

What schools did Sebastian Feese attend?

Sebastian Feese holds Doctor Of Philosophy (Phd), Elektrotechnik Und Elektronik from Eth Zürich.

What skills is Sebastian Feese known for?

Sebastian Feese is listed with skills including Programming, Java, Activity Recognition, Machine Learning, Sensor Data Analysis, Context Detection, Context Aware, and Data Mining.

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