November 28 – December 2, 2022
Berlin & Online
mlconference.ai/berlin

Meet me at MLCon Berlin, where I will be presenting a keynote speech on “How AutoML can give companies with few data scientists a key advantage.” Read for more

November 22-24, 2022
Online
mlconference.ai/Singapore

Scaling a data science practice is challenging, time-consuming, and expensive. Whether that be discovering treatments, repurposing drugs, or understanding what triggers a disease. With Automated Machine Learning, you can empower data analysts, software engineers, and BI professionals to build and benefit from predictive models while acquiring knowledge from interpreting the outputs. Through Data Science automation, a life-sciences team can be more productive while freeing up the time of a data scientist to focus on understanding the problem and the potential solution. Join me at MLCon Singapore, presenting on “How AutoML can give companies with few data scientists a key advantage.” Read for more

October 10-14, 2022
Dubai World Trade Centre
gitex.com

JADBio AutoML will be exhibiting and pitching at the Super Nova challenge, along with other startups, at the North Star exhibition. Meet us at the EU Pavilion, Stand CR-C1.8. We’re looking forward to meeting you and showing you our state-of-the-art #AutoML Platform, designed for #LifeScientists, enabling them to effortlessly make new discoveries and extract knowledge from publicly available or own-study #data without the need for coding.

June 27-29, 2022
Munich & Online
mlconference.ai

The Conference for Machine Learning innovation is being held this year in Munich, and it is a hybrid. Meet the world’s leading machine learning experts and innovators as they share their ideas and experience. International speakers from business, industry, and science, 4 full-day power workshops, more than 25+ sessions, keynotes, talks, and networking with people from a wide range of industries are the event’s frame. Read for more

June 13-16, 2022
San Diego, CA
bio.org

JADBio AutoML was selected to join the European Pavilion after a highly competitive evaluation process, and be part of BIO 2022, America’s leading medical exhibition, in San Diego, USA, in the framework of the European Innovation Council Overseas Trade Fairs (OTF) Programme 2.0
The 20 pioneering companies were selected based on their internationalization goals, technological fit with the scope of the trade fair, as well as their capacity to create business out of their participation.
The event gathers biotech leaders from a wide spectrum of life science and App innovators, including drug discovery, biomanufacturing, genomics, nanotechnology, and cell therapy. Find more on the Schedule & Agenda here

November 26, 2021
Web Event
Gene and Cell Therapies: new perspectives for old diseases

The Hellenic Society of Gene Therapy and Regenerative Medicine organizes the web event Gene and Cell Therapies: new perspectives for old diseases on Friday, 26th of November 2021.
I will give a lecture entitled “Artificial intelligence: a tool for diagnosis and decision making?” at 10:30 am.

November 2-4, 2021
Basel Congress Center, Basel
BioData World Congress

BioData World Congress is Europe’s largest congress covering big data in pharmaceutical development and healthcare. Genomics Live runs in tandem with BioData World Congress and covers all facets of precision medicine, multi-omics, and diagnostics. I will attend the event from November 2nd to 4th. Join me at our partner’s booth, QIAGEN, to connect and network

eptember 15th, 2021
Online
iit.demokritos.gr

The AI Industry Connect Talks series by SKEL | The Artificial Intelligence Lab, Institute of Informatics & Telecommunications at NCSR Demokritos aim to bring AI innovation to the forefront and inform wider audiences of the endless possibilities. Domain professionals speak on how the Industry applies scientific results in real life. I talked about Automated Machine Learning with the JADBio platform. Watch the video for more,

September 10-11, 2021
Online
ds.shiga-u.ac.jp/HDS2021

Behaviormetric Society and Shiga University jointly organize an online Symposium on data science, including statistics and machine learning. The Symposium will cover a wide range of topics. I will lecture about his work on causality, including causal discovery with mixed data, biomedical applications, and software CAUSAL PATH - more information to come.