Data Conference Databasea Query.Farm index
Speakers

Michel Debiche

Employers on the program

  1. 2019–2020STAC21 talks
Events9
Conferences1
Talks21
Years active2019–2020
Miles between events24,6797 in-person events · 3 countries

Appearances by year

201920202021202220232024202520262027
  • STAC Summit

Talks

DateEventConferenceRoleTitleLinks
Oct 19, 2020Global STAC Live, Fall 2020STAC SummitspeakerBenchmarking realtime LSTM inference on time series
as STAC
Many of the performance challenges associated with machine learning (ML) are in the training phase: that is, model development. But for certain use cases like…Show less

Many of the performance challenges associated with machine learning (ML) are in the training phase: that is, model development. But for certain use cases like time-sensitive trading, the inference phase (the application of a model to new data) also has its challenges.

Oct 19, 2020Global STAC Live, Fall 2020STAC SummitspeakerSTAC Update for simulation stacks
as STAC

Michel will present the latest benchmark results from technology stacks for compute-intensive simulations.

Oct 19, 2020Global STAC Live, Fall 2020STAC SummitspeakerSTAC Update: Historical time series stacks
as STAC

Michel will present the latest benchmark results from software/hardware stacks for historical time series analytics.

Jun 2, 2020Global STAC Live, Spring 2020STAC SummitspeakerSTAC Update: Big compute
as STAC

Michel will discuss the latest research and activities in compute-intensive workloads such as strategy backtesting, risk computation, and AI model training.

Jun 2, 2020Global STAC Live, Spring 2020STAC SummitspeakerSTAC Update: Big data
as STAC

Michel will discuss the latest research and activities in data-intensive workloads such as tick analytics.

Nov 13, 2019STAC Summit London, Fall 2019STAC Summitspeaker"ML Oops": How data simulation can help your quants avoid modeling errors
as STAC
Today's abundant tools make it possible to generate new ML and DL models for trading and investment in record time. Supply the tools with a dataset, an…Show less

Today's abundant tools make it possible to generate new ML and DL models for trading and investment in record time. Supply the tools with a dataset, an objective function, and quality metrics, and before long they will dutifully respond with the best result gleaned from millions of iterations.

Nov 13, 2019STAC Summit London, Fall 2019STAC SummitspeakerSTAC Update: Big compute
as STAC

Michel will discuss the latest research and activities in compute-intensive workloads such as deep learning and derivatives risk.

Nov 13, 2019STAC Summit London, Fall 2019STAC SummitspeakerSTAC Update: Big data
as STAC

Michel will discuss the latest research and activities in data-intensive workloads such as tick analytics and backtesting.

Oct 29, 2019STAC Summit Chicago, Fall 2019STAC SummitspeakerSTAC Update: Big Compute
as STAC

Michel will discuss the latest research and activities in compute-intensive workloads such as deep learning and derivatives risk.

Oct 29, 2019STAC Summit Chicago, Fall 2019STAC SummitspeakerSTAC Update: Big data
as STAC

Michel will discuss the latest research and activities in data-intensive workloads such as tick analytics and backtesting.

Oct 17, 2019STAC Summit New York, Fall 2019STAC SummitspeakerSTAC Update: Big compute
as STAC

Michel will discuss the latest research and activities in compute-intensive workloads such as deep learning and derivatives risk.

Oct 17, 2019STAC Summit New York, Fall 2019STAC SummitspeakerSTAC Update: Big data
as STAC

Michel will discuss the latest research and activities in data-intensive workloads such as tick analytics and backtesting.

Sep 24, 2019STAC Summit Hong Kong, Fall 2019STAC SummitspeakerEngineering to support modern data science
as STAC
Sep 24, 2019STAC Summit Hong Kong, Fall 2019STAC SummitspeakerSTAC briefing: Quant technology activities
as STAC
Jun 18, 2019STAC Summit Chicago, Spring 2019STAC SummitpanelistPanel: AI and the engineer
as STAC
Financial firms are increasingly using machine learning or deep learning (broadly, “AI”) to improve outcomes or automate functions. Like many other key…Show less

Financial firms are increasingly using machine learning or deep learning (broadly, “AI”) to improve outcomes or automate functions. Like many other key components of a business plan, AI is a team sport.

Jun 18, 2019STAC Summit Chicago, Spring 2019STAC SummitspeakerSTAC Update: AI Workloads
as STAC
Michel will discuss progress toward benchmark standards for ML/DL techniques and technologies based on problems that finance firms in the STAC Benchmark Council…Show less

Michel will discuss progress toward benchmark standards for ML/DL techniques and technologies based on problems that finance firms in the STAC Benchmark Council have said they care about.

Jun 18, 2019STAC Summit Chicago, Spring 2019STAC SummitspeakerSTAC Update: Big Workloads
as STAC
A lot of innovative solutions for big data and big compute workloads like enterprise tick analytics, strategy backtesting, and market risk are being subjected…Show less

A lot of innovative solutions for big data and big compute workloads like enterprise tick analytics, strategy backtesting, and market risk are being subjected to STAC Benchmarks. If he can catch his breath, Michel will take us through the latest research.

Jun 6, 2019STAC Summit New York, Spring 2019STAC SummitspeakerSTAC Update: AI Workloads
as STAC
Michel will discuss progress toward benchmark standards for ML/DL techniques and technologies based on problems that finance firms in the STAC Benchmark Council…Show less

Michel will discuss progress toward benchmark standards for ML/DL techniques and technologies based on problems that finance firms in the STAC Benchmark Council have said they care about.

Jun 6, 2019STAC Summit New York, Spring 2019STAC SummitspeakerSTAC Update: Big Workloads
as STAC
A lot of innovative solutions for big data and big compute workloads like enterprise tick analytics, strategy backtesting, and market risk are being subjected…Show less

A lot of innovative solutions for big data and big compute workloads like enterprise tick analytics, strategy backtesting, and market risk are being subjected to STAC Benchmarks. If he can catch his breath, Michel will take us through the latest research.

May 15, 2019STAC Summit London, Spring 2019STAC SummitspeakerSTAC Update: AI Workloads
as STAC
Michel will discuss progress toward benchmark standards for ML/DL techniques and technologies based on problems that finance firms in the STAC Benchmark Council…Show less

Michel will discuss progress toward benchmark standards for ML/DL techniques and technologies based on problems that finance firms in the STAC Benchmark Council have said they care about.

May 15, 2019STAC Summit London, Spring 2019STAC SummitspeakerSTAC Update: Big Workloads
as STAC
A lot of innovative solutions for big data and big compute workloads like enterprise tick analytics, strategy backtesting, and market risk are being subjected…Show less

A lot of innovative solutions for big data and big compute workloads like enterprise tick analytics, strategy backtesting, and market risk are being subjected to STAC Benchmarks. If he can catch his breath, Michel will take us through the latest research.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
David Snowdon8—2020
Matthew Grosvenor8—2020
Peter Lankford8—2020
Laurent de Barry7—2020
John Ashley622020
Charles Fan6—2020
David Taylor6—2020
Matt Meinel6—2019
Cliff Maddox5—2019
Dave Weber4—2020
Francisco Girela López4—2020
Jeff Denworth4—2020
Vahan Sardaryan4—2020
VR Satish4—2019
Balaji Prabhakar3—2020

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.