Mark Khait
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Mark Khait Email & Phone Number

Computational Scientist at Stone Ridge Technology
Location: Pioltello, Lombardy, Italy 8 work roles 2 schools
1 work email found @tudelft.nl 2 phones found area 848 and 212 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email m****@tudelft.nl
Direct phone (848) ***-****
LinkedIn Profile matched
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Current company
Role
Computational Scientist
Location
Pioltello, Lombardy, Italy
Company size

Who is Mark Khait? Overview

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Quick answer

Mark Khait is listed as Computational Scientist at Stone Ridge Technology, a company with 19 employees, based in Pioltello, Lombardy, Italy. AeroLeads shows a work email signal at tudelft.nl, phone signal with area code 848, 212, and a matched LinkedIn profile for Mark Khait.

Mark Khait previously worked as Senior Computational Scientist at Stone Ridge Technology and Postdoctoral Researcher at Technische Universiteit Delft. Mark Khait holds Doctor Of Philosophy - Phd, Petroleum Engineering from Technische Universiteit Delft.

Company email context

Email format at Stone Ridge Technology

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{first_initial}{last}@tudelft.nl
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AeroLeads found 1 current-domain work email signal for Mark Khait. Compare company email patterns before reaching out.

Profile bio

About Mark Khait

Ambitious, goal-oriented, determined professional with deep knowledge of multiphase flow in the subsurface and expertise in high-performance computing and reservoir modeling. Wide practical experience in development of simulation codes in various international environments. Aspired in improvement of complex modelling frameworks using cutting-edge software and hardware solutions.

Listed skills include Reservoir Simulation, High Performance Computing, C++, Gpu Accelerated Simulation, and 5 others.

Current workplace

Mark Khait's current company

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Stone Ridge Technology
Stone Ridge Technology
Computational Scientist
bel air, maryland, united states
Employees
19
AeroLeads page
8 roles

Mark Khait work experience

A career timeline built from the work history available for this profile.

Postdoctoral Researcher

Delft Area, Netherlands

2021-2022: Implementation of multiphase compositional thermal flow solver with gravity, capillarity, diffusion, kinetic and equilibrium reactions, precipitation/dissolution (through OBL approach) in GEOSX framework.2019-2021: GPU based compositional simulation using OBL parametrization approach. Study of performance improvement strategies for GPU based.

Sep 2019 - Feb 2022

Doctoral Researcher

Delft Area, Netherlands

After spending 11 years in the oil&gas industry, I moved on back to academia to learn more about reservoir modelling on the non-linear level. Inspired by the parametrization approach to aid flash calculations in compositional space (CSP), together with my supervisor Denis Voskov, we developed a novel linearization approach and found out that it improves.

Sep 2015 - Sep 2019

Computational Scientist Intern

Bel Air

Development and implementation of GPU-based Sequential Gaussian Simulation. The results were presented at the Fourth EAGE Workshop on High Performance Computing for Upstream (2019).

Mar 2019 - Apr 2019

Research & Development Intern

Houston, Texas

During this internship, I learned the principles of machine learning and convolutional neural networks (CNN) in particular. Working with Geology Technology Team, I development of a deep learning approach towards carbonate thin section classification according to Dunham textures. Using labelled high-resolution thin section images, CNN with Inception-v3.

Aug 2017 - Nov 2017

Senior Researcher

Ufa, Russian Federation

I worked in a small young team of scientific software engineers and mathematicians. We performed a full cycle of development, deployment, and support of a in-house 3-phase black-oil reservoir simulator. I was focused on implementation of parallel versions of the simulator for shared and distributed memory systems, including high-performance implementation.

Aug 2007 - Aug 2015

Visiting Researcher

United States

I took the opportunity to participate in a collaboration project between Rosneft Oil Company and Stanford University. During 6 month visit, I learned the structure of General Purpose Reservoir Simulator (GPRS), developed by SUPRI-B group in Earth Sciences, and introduced OpenMP thread parallelism in its linear solver library.

Oct 2007 - Mar 2008

Research Assistant

Ufa State Aviation Technical University

Ufa, Russian Federation

I was introduced to the problems posed by the oil&gas industry in reservoir modelling.In the beginning, I worked on the development of graphical applications for pre- andpost-processing of simulation data (Delphi, Object Pascal). Then, I got an assignment related directly to reservoir simulation - I studied and implemented various algorithmic components of.

Dec 2003 - Aug 2007
Team & coworkers

Colleagues at Stone Ridge Technology

Other employees you can reach at stoneridgetechnology.com. View company contacts for 19 employees →

2 education records

Mark Khait education

M.Sc. In Information Security (Distinction), Computer And Information Systems Security/Information Assurance, 4.98 / 5

Thesis title: "Algorithms and software for a cryptographic system of data protection"

FAQ

Frequently asked questions about Mark Khait

Quick answers generated from the profile data available on this page.

What company does Mark Khait work for?

Mark Khait works for Stone Ridge Technology.

What is Mark Khait's role at Stone Ridge Technology?

Mark Khait is listed as Computational Scientist at Stone Ridge Technology.

What is Mark Khait's email address?

AeroLeads has found 1 work email signal at @tudelft.nl for Mark Khait at Stone Ridge Technology.

What is Mark Khait's phone number?

AeroLeads has found 2 phone signal(s) with area code 848, 212 for Mark Khait at Stone Ridge Technology.

Where is Mark Khait based?

Mark Khait is based in Pioltello, Lombardy, Italy while working with Stone Ridge Technology.

What companies has Mark Khait worked for?

Mark Khait has worked for Stone Ridge Technology, Technische Universiteit Delft, Tu Delft, Aramco Services Company, and Rn-Ufanipineft.

Who are Mark Khait's colleagues at Stone Ridge Technology?

Mark Khait's colleagues at Stone Ridge Technology include Jose Pina, Mahmoud Bedewi, Klaus Wiegand, James (Jim) Gilman, and Krissy Vera.

How can I contact Mark Khait?

You can use AeroLeads to view verified contact signals for Mark Khait at Stone Ridge Technology, including work email, phone, and LinkedIn data when available.

What schools did Mark Khait attend?

Mark Khait holds Doctor Of Philosophy - Phd, Petroleum Engineering from Technische Universiteit Delft.

What skills is Mark Khait known for?

Mark Khait is listed with skills including Reservoir Simulation, High Performance Computing, C++, Gpu Accelerated Simulation, Machine Learning, Convolutional Neural Networks, Cuda, and Python.

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