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Ashish M. Chaudhari, Ph.D Email & Phone Number

Senior Data Scientist at Philips
Location: Boston, Massachusetts, United States 8 work roles 4 schools
1 work email found @philips.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Senior Data Scientist
Location
Boston, Massachusetts, United States
Company size

Who is Ashish M. Chaudhari, Ph.D? Overview

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Ashish M. Chaudhari, Ph.D is listed as Senior Data Scientist at Philips, a company with 70504 employees, based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at philips.com and a matched LinkedIn profile for Ashish M. Chaudhari, Ph.D.

Ashish M. Chaudhari, Ph.D previously worked as Data Scientist at Philips and Problem Solving & Digital Product Developement as Postdoctoral Associate at Massachusetts Institute Of Technology. Ashish M. Chaudhari, Ph.D holds Doctor Of Philosophy - Phd, Mechanical Engineering from Purdue University.

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*@philips.com
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Profile bio

About Ashish M. Chaudhari, Ph.D

Ph.D. in predictive science and decision-making with a diverse experience in data science and research roles within the healthcare, software engineering, and consulting domains.■ Data Science -- Over 5 years of modeling experience in regression, clustering, optimization, predictive inference, network analysis, and time-series analysis -- Exposed to model deployment, GUI design, server setup (e.g., Heroku), Django databases, and usability testing -- Proficient in Python, SQL, Matlab, JavaScript, HTML, and R. -- Hands-on experience in statistical data analysis using deep learning (e.g., VAEs, NLP), Bayesian inference, DAGs, and stochastic processes -- Exposure to data collection, data quality analysis, and validation -- Worked with web-scrapped data (e.g., grabcad.com, 3dhubs.com), experimental subject data, observational text, and image data to derive managerial insights -- Formal graduate-level training in statistics, machine learning, and mechanical engineering■ Collaboration -- Key team member in a group of systems engineering, management, psychology, and engineering design researchers -- Mentored multiple first-year graduate students in research, modeling, and data analysis -- Helped PI recognize over 1 million in grant funding and win grant renewal every year■ Research -- Conducted original scientific research in decision making, engineering design, systems engineering, and human-machine collaboration -- Developed and validated strategies to evaluate the interpretability of deep learning models Identified key drivers of stakeholder confidence in advanced modeling and simulation techniques -- Developed a predictive inference method to learn decision heuristics from noisy decision data -- Coauthored and presented 6 journal papers and more than 9 peer-reviewed conference papers at ASME DAC/DTM■ Problem-solving -- Exposure to user story mapping, focus group interviews, surveys, and user experience studies -- Analyzed product development processes and interviewed 20 engineers to identify drivers of digital transformation and generate insights for Ford Motor Company -- Proven product design experience in requirements analysis, conceptualization, and prototypingPlease get in touch with me to know more about my background. Philips email: ashish.chaudhari@philips.comGmail: amchaudhari15@gmail.com.

Listed skills include C, C++, R, Python, and 5 others.

Current workplace

Ashish M. Chaudhari, Ph.D's current company

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Philips
Philips
Senior Data Scientist
Boston, MA, US
Website
Employees
70504
AeroLeads page
8 roles

Ashish M. Chaudhari, Ph.D work experience

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

Senior Data Scientist

Boston, MA, US

Data Scientist

Current

Amsterdam, Noord-Holland, NL

- Working on data integration and developing deep learning methods for workflow improvement and diagnosis in echocardiogram

Jun 2022 - Present

Problem Solving & Digital Product Developement As Postdoctoral Associate

Cambridge, MA, US

■ Project: Model Confidence Framework for Model-based Engineering and Integrated Design- Interviewed 20 Ford Motor Company engineers to understand their concerns about the use of advanced modeling and simulation- Developed and validated a model confidence framework using interview content analysis resulting in a peer-reviewed conference paper.- Generated.

Sep 2021 - May 2022

Research & Applied Machine Learning As Postdoctoral Researcher

College Station, TX, US

■ Project 1: AI-enabled Interactive Exploration of the System Architecture Space- Evaluated the traceability in tradespace exploration (TE) for electrical system architectures for Ford Motor Company.- Developed a novel TE method using a Rule-Based System, Multi-Objective Evolutionary algorithm, and Interactive Rule Mining.- Demonstrated engineering.

Aug 2020 - Aug 2021

Collaboration & Predictive Science For Decision Making As Graduate Research Assistant

West Lafayette, IN, US

■ Project 1: Descriptive Modeling and Inference for Engineering Design Decisions- Collaborated cross-functionally with systems engineering, management, and psychology professors and mentored first-year graduate students- Developed and validated a hierarchical Bayesian inference method for learning decision heuristics from observational data, recruiting.

Aug 2015 - Aug 2020

Teaching Assistant

West Lafayette, IN, US

■ Lab Instructor, Machine Design I -- Delivered weekly laboratory instruction to 80 ME students on kinematics and fatigue analysis -- Adapted lab sessions mid-pandemic to facilitate online instruction by focusing on easy-to-grasp mechanisms like the bicycle dynamics model■ Teaching Assistant & Guest Lecturer, Decision Making in Engineering Design -- Guided.

Aug 2019 - May 2020

Communication & Additive Manufacuring As Visiting Reseacher

Ottawa, Ontario, CA

- Led a successful research proposal for a scholarship to travel and conduct research abroad- Engaged in Mitacs Step workshops: Communicating with Impact, and Introduction to Productive Teams- Achieved improved replicability of 3D printers by designing and printing plastic T-slots to replace the metal counterparts used in RepRap 3D printer

May 2014 - Jul 2014
Team & coworkers

Colleagues at Philips

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4 education records

Ashish M. Chaudhari, Ph.D education

Doctor Of Philosophy - Phd, Mechanical Engineering

Purdue University

Master Of Science - Ms, Mechanical Engineering

Purdue University

Bachelor Of Technology (Btech), Mechanical Engineering

Indian Institute Of Technology, Guwahati

Higher Secondary Certificate, Physical Sciences

Abasaheb Garwaare Junior College, Pune
FAQ

Frequently asked questions about Ashish M. Chaudhari, Ph.D

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

What company does Ashish M. Chaudhari, Ph.D work for?

Ashish M. Chaudhari, Ph.D works for Philips.

What is Ashish M. Chaudhari, Ph.D's role at Philips?

Ashish M. Chaudhari, Ph.D is listed as Senior Data Scientist at Philips.

What is Ashish M. Chaudhari, Ph.D's email address?

AeroLeads has found 1 work email signal at @philips.com for Ashish M. Chaudhari, Ph.D at Philips.

Where is Ashish M. Chaudhari, Ph.D based?

Ashish M. Chaudhari, Ph.D is based in Boston, Massachusetts, United States while working with Philips.

What companies has Ashish M. Chaudhari, Ph.D worked for?

Ashish M. Chaudhari, Ph.D has worked for Philips, Massachusetts Institute Of Technology, Texas A&M University, Purdue University, and Carleton University.

Who are Ashish M. Chaudhari, Ph.D's colleagues at Philips?

Ashish M. Chaudhari, Ph.D's colleagues at Philips include Kumaresan P, Daniel Kim, He Simon, Gerardo M. Lopez, and Danish Khan.

How can I contact Ashish M. Chaudhari, Ph.D?

You can use AeroLeads to view verified contact signals for Ashish M. Chaudhari, Ph.D at Philips, including work email, phone, and LinkedIn data when available.

What schools did Ashish M. Chaudhari, Ph.D attend?

Ashish M. Chaudhari, Ph.D holds Doctor Of Philosophy - Phd, Mechanical Engineering from Purdue University.

What skills is Ashish M. Chaudhari, Ph.D known for?

Ashish M. Chaudhari, Ph.D is listed with skills including C, C++, R, Python, Matlab, Cuda, Solidworks, and Latex.

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