Isaac Asher
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Isaac Asher Email & Phone Number

Staff Performance and S and C Engineer at Wisk
Location: Brookline, Massachusetts, United States 11 work roles 2 schools
1 work email found @aurora.aero LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Staff Performance and S and C Engineer
Location
Brookline, Massachusetts, United States
Company size

Who is Isaac Asher? Overview

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Quick answer

Isaac Asher is listed as Staff Performance and S and C Engineer at Wisk, a with 694 employees, based in Brookline, Massachusetts, United States. AeroLeads shows a work email signal at aurora.aero and a matched LinkedIn profile for Isaac Asher.

Isaac Asher previously worked as Performance and S&C Engineer at Wisk and Advanced Concepts Engineer at Aurora Flight Sciences Corporation. Isaac Asher holds S.B., Aerospace Engineering from Massachusetts Institute Of Technology.

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Email format at Wisk

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{first_initial}{last}@aurora.aero
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Profile bio

About Isaac Asher

Skilled in applying modern machine learning techniques to solve high-dimensional modeling, optimization, calibration, and forecasting problems. Experience in Bayesian Gaussian Process, polynomial chaos, and neural network methods. Applications include engineering design, operational planning, test design, anomaly detection, and imaging. Active in research including adaptive sampling, fast robust optimization, sensitivity, non-stationary GPs, and multi-fidelity models.

Listed skills include Numerical Analysis, Cfd, Research, Uncertainty Analysis, and 9 others.

Current workplace

Isaac Asher's current company

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Wisk
Wisk
Staff Performance and S and C Engineer
Brookline, MA, US
Website
Employees
694
AeroLeads page
11 roles

Isaac Asher work experience

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

Staff Performance And S And C Engineer

Brookline, Ma, Us

Performance And S&C Engineer

Mountain View, California, Us

Performance, stability, and control analysis of eVTOL vehicle. Integration with batteries, powertrain, control system, autonomy, structures, and aerodynamics. I combine surrogate modeling with domain specific knowledge to perform rapid and comprehensive analyses.

Advanced Concepts Engineer

Manassas, Va, Us

Preliminary design of eVTOL concepts. Intersection of conops, certification, and maneuverability performance. Control, optimization, and uncertainty quantification of robot+human manufacturing processes.

Jan 2019 - Apr 2023

Lead Mechanical Engineer

Niskayuna, New York, Us

Developing DigitalTwin technology, combining operational data and physics-based lifing models to make more accurate lifing and maintenance decisions. Activities include data cleaning/processing, missing data estimation, usage modeling & forecasting, damage modeling (fracture mechanics), surrogate modeling, FEM, data fusion with Bayesian Networks, sensitivity analysis, inspection scheduling. I also work on advanced surrogate modeling techniques. I'm working to build a platform to enable multi-fidelity models, non-stationary and heteroscedastic processes, time- and space-dependent outputs, subspace methods, and take advantage of recent mathematical advances in MCMC methods (likelihood informed, subspace-adaptive). The goal is to bring state-of-the-art surrogate modeling to the industry.

Feb 2015 - Dec 2018

Graduate Student Research Assistant

Ann Arbor, Michigan, Us

Developing a method for adaptive unsupervised machine learning accelerated with adjoint information (physical/sample error estimates) from computational models.• Utilize cheap residual evaluations (separating physical errors and statistical model errors) to explore the high-dimensional parameter space• Optimize parameters of the statistical model• Detect well-modeled behavior to minimize samples• Implement an adaptive, 1D two-phase subcooled-boiling fluid model with adjoint solutions for testing the machine learning algorithmPerformed sensitivity and uncertainty study of various two-phase fluid flow models applied to a nuclear reactor core.• Compared Star-CD, Star-CCM+, and Nphase models• Used C, Fortran, and shell scripting to manage parallel runs on tens of cores• Uncovered 77% variation in void fraction due to bubble size model• Established lack of output convergence for commonly used meshes

Sep 2010 - Jan 2015

Research Assistant

Mit

Assissted development of a prototype hybrid engine battery charging system for an Au-tonomous Underwater Vehicle that extends mission time from 3 days to 1 month.• Redesigned electrical and sensor systems• Wrote control software for embedded microcontroller• Recharging system was successfully demonstrated for the US Navy

Jan 2013 - Jul 2013

Intern

Berkeley, Ca, Us

Extended an adaptive Cartesian-grid simulation suite (Chombo) to integrate CAD model geometries as embedded boundaries.• Implemented efficient computational geometry algorithms in C++• Enabled fluid simulations of complex nuclear reactor core geometry on a cluster of hundreds of processors

Jun 2012 - Aug 2012

Research Assistant

Mit

Cambridge, Ma, Us

Developed, implemented, documented, and validated a new model for initial design and performance prediction of Vertical Axis Wind Turbines.• Incorporated blade interactions, dynamic vortices, a static stall model and various control strategies• Enabled design optimization with fast convergence• Achieved 3.4% efficiency gain with periodic pitch controlStudied plunging and pitching airfoils with in-house code and compared to experimental data.• Resolved earlier discrepancy due to insufficient mesh resolution• Validated 3D Discontinuous Galerkin method with moving boundaries

Sep 2008 - Jun 2010

Intern

Washington, Dc, Us

Measured reactive material debris clouds in pursuit of a model to predict post-break up characteristics, including particle size distribution. Obtained DoD clearance for work.

Jun 2008 - Aug 2008

Intern

Cleveland, Oh, Us

Evaluated software tools to help NASA systems engineers integrate new MBSE methods into the system design process.

Jun 2007 - Aug 2007

Research Assistant

Rochester, Ny, Us

Correlated Diffusion-Tensor MRI data to brain cancer recurrence patterns. Found evidence that treatment plans based on DT-MRI can be more effective and less damaging to healthy tissue.

Jun 2004 - Aug 2005
Team & coworkers

Colleagues at Wisk

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2 education records

Isaac Asher education

S.B., Aerospace Engineering

Massachusetts Institute Of Technology

Phd, Aerospace Engineering

University Of Michigan
FAQ

Frequently asked questions about Isaac Asher

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

What company does Isaac Asher work for?

Isaac Asher works for Wisk.

What is Isaac Asher's role at Wisk?

Isaac Asher is listed as Staff Performance and S and C Engineer at Wisk.

What is Isaac Asher's email address?

AeroLeads has found 1 work email signal at @aurora.aero for Isaac Asher at Wisk.

Where is Isaac Asher based?

Isaac Asher is based in Brookline, Massachusetts, United States while working with Wisk.

What companies has Isaac Asher worked for?

Isaac Asher has worked for Wisk, Aurora Flight Sciences Corporation, Ge Global Research, University Of Michigan, and Mit.

Who are Isaac Asher's colleagues at Wisk?

Isaac Asher's colleagues at Wisk include Sophia Huq, Clayton 'Merv' Hughes, Dexter Truong, Rohan Shah, and David Ring.

How can I contact Isaac Asher?

You can use AeroLeads to view verified contact signals for Isaac Asher at Wisk, including work email, phone, and LinkedIn data when available.

What schools did Isaac Asher attend?

Isaac Asher holds S.B., Aerospace Engineering from Massachusetts Institute Of Technology.

What skills is Isaac Asher known for?

Isaac Asher is listed with skills including Numerical Analysis, Cfd, Research, Uncertainty Analysis, Matlab, C, Linux, and Machine Learning.

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