Elif Ozkirimli in

Elif Ozkirimli

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Lecturer at University of Applied Sciences and Arts Northwestern Switzerland FHNW
📍 Basel, Basel, Switzerland

Elif Ozkirimli is the AI Strategic Business Enablement Lead and Head of Computational Science Products at Roche. She has a Ph. D. from Purdue University and extensive experience leading global data science teams to develop AI-driven decision support tools. Colleagues describe her as having exceptional technical and research skills.

Elif is deeply engaged in the professional community, frequently speaking at major industry events such as the Festival of Genomics & Biodata and the AMLD Intelligence Summit. She shows a keen interest in advancing her field by reading and recommending specialized books on topics like agentic AI workflows.

She is a co-author of the influential research paper "DeepDTA, " which introduced a deep-learning model for predicting drug-target binding affinity.

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Experience
18 Years
Current Role
Lecturer
Job Level
Mid-senior
Location
Basel, Basel, Switzerland
Personality Overview

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Decision Approach
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Priorities

Topics Elif cares about

AI in Drug Discovery
Her leadership role at Roche and her highly cited publication "DeepDTA" underscore her focus on applying deep learning to pharmaceutical challenges.
Scaling Enterprise AI
She has publicly shared her perspective that successfully scaling AI in an enterprise requires targeted expert collaboration, not just generalized training.
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Career

Work history

9-2024
Lecturer
University of Applied Sciences and Arts Northwestern Switzerland FHNW
7-2022
Head of Computational Science Products
Roche
2020 - 7-2022
Head of Data Science and Advanced Analytics - Pharma International Data and Analytics Chapter
Roche
2-2017 - 2020
Visiting Scientist
University of Zurich
5-2007 - 2020
Associate Professor
Bogazici University
In the press

Media appearances

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Education
1999 - 2006
Doctor of Philosophy (Ph.D.)
Purdue University
1996 - 1998
Master's degree
Boğaziçi University
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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