20+ women experts on the topic of synthetic data

Recently, I stumbled across the promotion of an interesting talk organized by the Amsterdam FinTech week: “synthetic data, real opportunities.” Much to my disappointment, out of a 9-people panel, there wasn’t a single woman in the panel.

Synthetic data and privacy as research fields owes a lot to the work of pioneer women. For example, the research of Dr. Latanya Sweeney on re-identification has been critical, much as the research from Cynthia Dwork on differential privacy.

Today, synthetic data is no longer confined to the academics field, as proved by the 50+ tech companies actively developing solutions and services. In a sector struggling with recruiting women, better gender representation at public events and in the media is a step toward supporting a more diverse industry.

So here is a list of 20 female experts on the topic of synthetic data for your next interview, conference, or podcast.

20+ women experts on the topic of synthetic data

  • Alexandra Ebert, Chief Trust Officer at Mostly AI

Alexandra is a privacy and GDPR expert with a background in software and engineering, and business and marketing. She has industry expertise in synthetic structured data, GDPR, AI, and privacy. Contact her

  • Aurélia Nègre, Lead Deep Learning Scientist at Preligens

Aurélia is a senior data scientist with a background in economics and statistics. She has technical expertise in synthetic structured data and Generative Adversarial Networks (GANs). Contact her

  • Beatrice Milik, Business Development Representative at Statice

Beatrice is a sales engineer to-be with a background in biomedical engineering. She has industry and technical expertise in synthetic structured data. Contact her

  • Borbála Tasnádi, Data Scientist at Statice

Borbála is a data scientist with a background in mathematics studies. She has technical expertise in synthetic structured data, synthesization methods as well as utility and privacy evaluation of synthetic data. Contact her

  • Chaoyi (Mina) Zheng, Data Science Manager

Mina is a data scientist with a background in biomedical sciences and biostatistics. She has academic and technical expertise in synthetic healthcare data, statistics, and machine learning. Contact her

  • Chiara Beth Colombi, Wordsmith at Tonic.ai

Chiara is a communications expert with a background in content creation and technical translation. She has editorial and industry expertise in data synthesis, data privacy, and product marketing. Contact her

  • Dr. Claire McKay Bowen, Lead Data Scientist, Privacy and Data Security at Urban Institute

Claire is a data scientist with a background in computational statistics. She has academic and technical expertise in synthetic data generation, differential privacy, and statistical disclosure control methodology. Contact her

  • Daniela Palcu, Computer Vision Engineer at Neurolabs

Daniela is a machine learning engineer with a background in computer science and artificial intelligence. She has technical expertise in synthetic data generation for computer vision and object detection. Contact her.

Elena is a synthetic data expert with a background in international law and intellectual property. She has academic, legal, and business expertise on synthetic unstructured data and privacy protection. Contact her

  • Elodie Zanella, Data Science Product Director at Sarus

Elodie is a data science product expert with a background in statistics, machine learning, and big data. She has technical expertise in synthetic structured data, privacy-preserving analytics, and AI tools. Contact her

  • Emily Ritter, Software Engineer at Tonic.ai

Emily is a software engineer with a background in Computer Science. She has technical expertise in structured and semi-structured synthetic data generation, test data, and database integration. Contact her

  • Emna Amor, Machine Learning Engineer at Statice

Emna is a machine learning engineer with a background in computer science. She has technical expertise in synthetic structured data for privacy protection, machine learning, and model performances. Contact her

  • Fabiana Clemente, Founder and Chief Data Officer at YData

Fabiana is a data scientist and entrepreneur with a background in applied maths and data science. She has technical and industry expertise in synthetic structured data, deep learning techniques, and data privacy protection. Contact her

Franziska is a researcher and PhD candidate with a background in computer science, privacy, and data science. She has research and technical expertise in data protection, and private + secure machine learning development, with a special focus in their application for health data. Contact her

Giulia is a privacy expert and professor with a background in Electrical Engineering and Computer Sciences. She has technical and academic expertise on privacy-preserving technologies, synthetic data generation and deep generative models in particular Generative Adversarial Networks (GANs). Contact her

  • Inken Hagestedt, Privacy Expert at Apheris

Inken is a data scientist and privacy expert. She has technical expertise on privacy technologies such as synthetic data. Additionally, she was researching at the CISPA Saarland and organizing a community of scientists and researchers around privacy-aware eye tracking using differential privacy. Contact her.

  • Jeanette Knipp, Junior Associate Strategy & Conception at idalab

Jeanette is a design strategist with a background in digital and physical product design. She has design and industry expertise in synthetic healthcare data, AI, and health data sciences. Contact her

  • Kasey Alderete, Product Manager at Tonic.ai

Kasey is a product expert with a professional and academic background in business and engineering. She has design and industry expertise in synthetic data, enterprise technology, and product management. Contact her

  • Lucie Arntz, Operations Manager & Head of Legal at Apheris

Lucie is a fully qualified lawyer with extensive business and legal expertise in privacy-enhancing technologies, data protection and AI regulation. She empowers companies to adopt AI while minimizing its risk, providing advice in strategic and technical areas, including regulatory and compliance, synthetic data and all questions around intellectual property rights related to AI. Contact her

Lucy is a data scientist expert with a background in biostatistics and mathematical biology. She has technical and academic expertise in structured synthetic data for healthcare, data analysis, and multi-party computing. Contact her

  • Lulu Tan, Machine Learning Engineer at Unity

Lulu is a machine learning engineer and data scientist with a background in engineering. She has technical expertise in synthetic structured data, data privacy, and machine learning models such as Generative Adversarial Networks (GANs). Contact her

Lydia is a research expert and entrepreneur with a background in Industrial Engineering, Computer Science, and Operation Research. She has technical and academic expertise in synthetic tabular data generation, deep learning models such as Generative Adversarial Networks, and privacy-preserving technology. Contact her

Manuela is a compliance and AI expert with a background in law. She has legal and compliance expertise in digital ethic and AI, and data compliance. Contact her.

  • Nari Park, Big Data Analyst, at AI Big Data Research Center

Nari is a big data analyst with a background in actuarial science. She has technical expertise in synthetic data generation, text mining, and analysis. Contact her

  • Noa Zamstein, Senior Data Scientist at MDClone

Noa is a data scientist with a background in computational chemistry. She has academic and technical expertise in synthetic healthcare data and statistical utility preservation. Contact her

Patricia is a data privacy expert with a background in computer science, linguistics, and literature. She has technical and industry expertise in synthetic data, AI, and Privacy-Enhancing Technologies (PETs). Contact her

  • Shaarvani Kavula, Data Science Engineer

Shaarvani is a data scientist expert with a background in data science and business analytics. She has technical expertise in synthetic data generation for fraud detection and explainable AI. Contact her

  • Ruth Hashkes, Data Scientist at MDClone

Ruth is a data scientist and researcher with a background in medicine sciences and biology. She has technical and academic expertise in synthetic healthcare data and privacy. Contact her

  • Theresa Stadler, PhD Research Assistant at EPFL IC

Theresa is PhD Research Assistant with a background in Biophysics and Biomathematics. She has technical and academic expertise on privacy-preserving data processing systems and technologies, and privacy mechanisms for synthetic data generation. Contact her

  • Dr. Victoria de Sainte Agathe, Data Scientist R&D at Sarus.

Victoria is a data scientist with a background in fundamental physics and astrophysics. She has technical and academic expertise in synthetic structured data, differential privacy, and privacy-preserving mechanisms. Contact her

Hopefully, a little awareness can help fast-track women’s participation in public speaking events and encourage organizers and media to build more diverse panels.

📧 Please reach out on LinkedIn or in the comments for addition or change to this list!

Tech enthusiast, digital marketing manager. Working at Statice, startup specialized in synthetic data for privacy-preserving data applications 👉 www.statice.ai