Kostas Sechidis

Machine learning researcher at Novartis. Comments are my own.

[Frank Bretz @Frank_Bretz]

Excited to organize this virtual workshop with @sechidis on 'Controlling the chances of false discoveries in exploratory analysis of clinical trials'
https://t.co/ffvaC3Tf16

Excellent line-up of speakers and it's for free, but registration is required
https://t.co/h5bEg9yFeM

[Ambra @ambrademontis]

2024 Pierre Devijver Award
Call for Nominations - Deadline May 15

We solicit nominations of scientists who have contributed significantly to the field of statistical pattern recognition and closely related fields.

https://t.co/BwO14w5Urt

[Gavin Brown @profgavinbrown]

Here's a story about one of the most surprising/unexpected papers I've ever published, out in TMLR today. The title is "Bias/Variance is not the same as Approximation/Estimation", written with the outstanding @RiccardoAli1. Paper here: https://t.co/ZlwoQM5Fgk

[Ambra @ambrademontis]

Please help us commemorate Pierre Devijver, one of the founders of statistical pattern recognition, by nominating outstanding scientists who have contributed significantly to that field or to closely related ones.

Deadline: May 15, 2024.
https://t.co/BwO14w5Urt

#AI

[Frank Bretz @Frank_Bretz]

Great PhD opportunity with @profgavinbrown at the UKRI AI Center for Doctoral Training in Decision Making for Complex Systems (Manchester/Cambridge) on causal effect measures and information geometry, co-supervised by @sechidis and myself.
More details: https://t.co/SJhebSZ4aw

[Gavin Brown @profgavinbrown]

PhD opportunity… the Manchester/Cambridge CDT is open for business. In collaboration with @sechidis at Novartis, I am advertising a PhD for reducing uncertainty in causal biomarker selection procedures…

https://t.co/u1ppNvN7Kg

Contact us for more details.

[Gavin Brown @profgavinbrown]

I’ve been working on something for a while...

tl;dr = a theoretical framework for ensemble diversity

Ensembles combine predictions from multiple models. For best results, it’s commonly believed that we need disagreement among the models, or “diversity”. But what is diversity?

[Frank Bretz @Frank_Bretz]

From Data to Knowledge. Advancing Life Sciences.

Central European Network (CEN) conference, in Basel, September 3-7, 2023.

Deadline for short course proposals is only one week away (Jan 15) - submit your proposal at https://t.co/tPZo68T674

@a_randomwalker @time_bits @IBSstats

[Riccardo Fusaroli @fusaroli]

This Friday (11/25) we're holding a workshop on speech-based markers of neuropsychiatric conditions. Brainchild of @AlbertoParola2, w @DrVeronikaCH @RockBerta @KCEnevoldsen @danielmlow @sechidis. Join us on Zoom or IRL: https://t.co/zOYZspA9EQ

[Riccardo Fusaroli @fusaroli]

Today I have given a talk at the PRAAT group (@IrisSommer4 @SBrederoo) on (some of) the limits of machine learning approaches to vocal markers of neuropsychiatric conditions (identifying them using voice data only). A thread (and video at the end): 1/

[Idoia Grau Sologestoa @IdoiaGrau]

Beyond happy that my paper with S. Deschler-Erb & M. Groot on cattle in Roman times in the Rhine region has just been published in Environmental Archaeology!! 🐮🐮🐮

https://t.co/hi5D94R5en

@Envarch @ICAZ_News @tandfonline @UniBasel @FU_Berlin #ZooRoMed #zooarchaeology

[PharML @pharml_official]

The deadline for submissions of PharML 2022 is extended to June 27, 2022! Go ahead and submit your exciting work! The call for papers is here: https://t.co/H2uKONtapg

[Kostas Sechidis @sechidis]

@fusaroli @Novartis Hahaha I will be more than happy!!!

[Kostas Sechidis @sechidis]

Very happy to present tomorrow in the MSc in Data & Web Science of Aristotle University of Thessaloniki the work we do in the Advanced Methodology and Data Science group of @Novartis on discovering predictive biomarkers. More details here: https://t.co/UbyAnmEgKO

[Gavin Brown @profgavinbrown]

Now hiring. Two posts (L and SL) at Manchester. https://t.co/7nK3Me7kVO …. come join us - including @samikaski @maalvarezl @DrDaveCWong @MagnusRattray and others, at the new Centre for AI fundamentals.

[The STRATOS initiative @stratosinit]

This NEW PAPER proposes 10 simple rules for initial data analysis

"When properties and context are not appropriately taken into account, data can speak through lies and riddles as preconditions for meaningful statistics are not met"

Open access 👉 https://t.co/OmXQF6PYyA

[Frank Bretz @Frank_Bretz]

Proud to see this Special Issue coming out with 10 papers on statistical challenges in clinical trials for COVID-19 treatments, vaccines, and diagnostics.
Thanks to Freda Cooner, @ToshimitsuHama1, Gene Pennello and @posch_m for the great collaboration!
https://t.co/8daj42IDgA

[Kostas Sechidis @sechidis]

A great opportunity to work in our group on developing novel statistical and machine learning tools for controlled biomarker identification.

https://t.co/KMUQU5PkH6

#machinelearning #drugdiscovery #datascience #novartis

[MRC Biostatistics Unit @MRC_BSU]

(1/2) A few weeks ago, we were privileged to have @Frank_Bretz from @Novartis visit our Unit and give two fantastic hybrid seminars. One on 'When convention meets practicality: Pooled analysis testing under the two-study paradigm’

Watch here: https://t.co/favIIKKOID

[Kostas Sechidis @sechidis]

@sea_shunned Thanks for kind words Cameron! Hope you are doing well!