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Akademie für Frauen in der KI: Unsere Stärke liegt in der kollektiven Kraft unseres engagierten Teams. Es besteht aus Experten mit unterschiedlichen Hintergründen, wobei jedes Mitglied ein gemeinsames Ziel verfolgt: Frauen mit dem Wissen, den Fähigkeiten und den Möglichkeiten auszustatten, um in den dynamischen Bereichen Data Science und künstliche Intelligenz erfolgreich zu sein.

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Meet Our Empowering Team

At Women AI Academy, our strength lies in the collective power of our dedicated team. Comprising experts from diverse backgrounds, each member shares a common goal: to empower women with the knowledge, skills, and opportunities to excel in the dynamic fields of data science and artificial intelligence.

UNSER MANAGEMENT TEAM

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Naz Cilo-van Norel

Founder of WAIA

A passionate advocate for ethical AI and gender equity in tech, Naz weaves her immigrant background and motherhood journey—with two children and three foster kids—into her advocacy. Holding dual expertise in electronics engineering and political science, and with over 30 years in tech, she effortlessly blends technology with societal challenges. Naz’s vision? Ethical AI that’s accessible to all, particularly underprivileged groups. To bring this vision to life, she founded both the Women AI Academy and Big Data Queens. These institutions mentor underprivileged women, guiding them towards AI careers. In partnership with IEEE, Naz works tirelessly to establish ethical AI standards. True to her roots, the Academy emphasizes inclusivity, ensuring every graduate, regardless of background, secures a place in the tech landscape.

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SUWARIE TOPAZ

Head of Business Development

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Erum Afzal

Consultant & Mentor, Artificial Intelligence Expert

Erum is a Ph.D. scholar specializing in AI tools for teacher training at Justus Liebig University, Germany, with a strong background in Information and Computational Technology. 
Beyond academia, she is a mentor and speaker, passionate about educating in AI, Data Science, and Machine Learning. Her collaborations with esteemed organizations like Women AI Academy, ETHOS AI, Women Who Code, Omdena, and Neuro Match Academy showcase her commitment to knowledge sharing. Erum’s academic pursuits and industry engagement make her a valuable asset, driving innovation in AI and Data Science.

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ANNETTE KEMPF

Head of Bootcamp Instructor, Machine Learning Engineering Expert

Our Training Instructors

Hier finden Sie einige unserer Dozenten. Darüber hinaus arbeiten wir auf Anfrage mit Dozenten unserer Kooperationspartner für spezifische Schulungsprogramme zusammen.

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Prof. Ali Hessami

AI ETHICS + AI SAFETY + AI QUALITY

Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. 

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Patricia Shaw

AI ETHICS

Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.

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Naz Cilo-van Norel

Founder of WAIA

A passionate advocate for ethical AI and gender equity in tech, Naz weaves her immigrant background and motherhood journey—with two children and three foster kids—into her advocacy. Holding dual expertise in electronics engineering and political science, and with over 30 years in tech, she effortlessly blends technology with societal challenges. Naz’s vision? Ethical AI that’s accessible to all, particularly underprivileged groups. To bring this vision to life, she founded both the Women AI Academy and Big Data Queens. These institutions mentor underprivileged women, guiding them towards AI careers. In partnership with IEEE, Naz works tirelessly to establish ethical AI standards. True to her roots, the Academy emphasizes inclusivity, ensuring every graduate, regardless of background, secures a place in the tech landscape.

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MERT CUHADAROGLU

AI ETHICS + AI SAFETY + AI QUALITY

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Salma Aziz

Instructor & Mentor, Machine Learning Expert

Drawing from her international journey and data science expertise, Salma dedicates herself to mentoring and teaching, blending practical experience with academic wisdom to inspire future data enthusiasts. Salma embarked on her academic path with a strong base in Mathematics and Physics, which led to an Engineer Diploma in Statistics and Applied Economics. She then earned a Master’s in Data Science. Alongside her core studies, Salma also undertook an innovative Student-Entrepreneur program. She holds a fervent belief: in the vast world of data, every pattern tells a story, and every analysis reveals a new insight. Salma’s goal extends beyond mere instruction; she aims to spark a quest among learners to decode these stories, driving them toward impactful decisions.

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Zubia Khan

Instructor & Mentor, Data Analytics Expert

Zubia Khan is working as a Data Scientist for multiple business clients.  She is teaching UK students at the undergraduate level.
She has more than 4 years of experience working with large volumes of data to perform exploratory data analysis, feature selection, feature extraction, predictive analytics, and model deployment for healthcare and training organisations. She has experience working as a lecturer at the world’s best university, Anglia Ruskin University, where she taught undergraduate students Computer Science, specifically cipher challenges in various programming languages. She has completed Computer Science training at the University of Cambridge with the  founder of the Raspberry Pi, Alan Mycroft. She is currently pursuing a master’s degree in Artificial Intelligence from the world’s top 100 university, the University of York.

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LUKAS MADL

AI ETHICS + AI SAFETY + AI QUALITY

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Sarah Haq

MACHINE LEARNING; DATA ANALYTICS; DATA SCIENCE

Sarah Haq is a Computer Science and Creative Computing Lecturer at Leuphana University

– Sarah has over ten years of experience working with data and building machine-learning models for various startups, from underwear companies to unicorns.
She was previously a Senior Machine Learning Engineer at the world’s largest online art marketplace, Artsy, where she shaped the personalisation strategy and built a recommendation engine to connect collectors with artworks they truly loved.
Sarah completed her studies in Mathematics and Economics at the London School of Economics.

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Erum Afzal

Consultant & Mentor, Artificial Intelligence Expert

Erum is a Ph.D. scholar specializing in AI tools for teacher training at Justus Liebig University, Germany, with a strong background in Information and Computational Technology. 
Beyond academia, she is a mentor and speaker, passionate about educating in AI, Data Science, and Machine Learning. Her collaborations with esteemed organizations like Women AI Academy, ETHOS AI, Women Who Code, Omdena, and Neuro Match Academy showcase her commitment to knowledge sharing. Erum’s academic pursuits and industry engagement make her a valuable asset, driving innovation in AI and Data Science.

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ANNETTE KEMPF

EMDEDDED ACADEMY

FÜR SINNVOLLE VERÄNDERUNG

Was unser Team auszeichnet, ist unser gemeinsames Engagement für nachhaltige Veränderungen. Wir sind nicht nur Trainer und Mentoren; wir sind leidenschaftliche Befürworter von Chancengleichheit, Vielfalt und ethischer Innovation in der Wirtschaft. Unser Fokus liegt darauf, kleinen und mittleren Unternehmen (KMUs) bei ihrer digitalen Transformation zu unterstützen. Begleiten Sie uns, während wir unser Fachwissen nutzen, um KMUs zu stärken, Barrieren abzubauen und eine Geschäftswelt zu schaffen, die Inklusivität, Innovation und ethische Standards feiert. Mit unseren maßgeschneiderten Schulungsprogrammen helfen wir Unternehmen, ihre Teams für die Zukunft auszurüsten.

Kontaktieren Sie uns jetzt

Für Anfragen oder um mehr über unser Team zu erfahren, zögern Sie nicht, uns zu kontaktieren. Fordern Sie Informationen zu maßgeschneiderten Schulungen und Workshops an.