Machine Learning Engineer
Current
Jun 2023 - Present
AeroLeads people directory · profile
Cody Meng Email & Phone Number
Geophysicist & Machine Learning Specialist | B.S. Computational Physics and Astrophysics | Data Science M.S. Student | Rice ‘21 & ‘23, UT Austin ‘25
at
In-Depth Compressive Seismic, Inc
LinkedIn matched
✓ Verified Jul 2026
3 data sources
Profile completeness 86%
Current company
Role
Geophysicist & Machine Learning Specialist | B.S. Computational Physics and Astrophysics | Data Science M.S. Student | Rice ‘21 & ‘23, UT Austin ‘25
Location
Houston, Texas, United States
Company size
Who is Cody Meng? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Cody Meng is listed as Geophysicist & Machine Learning Specialist | B.S. Computational Physics and Astrophysics | Data Science M.S. Student | Rice ‘21 & ‘23, UT Austin ‘25 at In-Depth Compressive Seismic, Inc, a with 6 employees, based in Houston, Texas, United States. AeroLeads shows a matched LinkedIn profile for Cody Meng.
Cody Meng previously worked as Machine Learning Engineer at In-Depth Compressive Seismic, Inc and AP Physics Teacher at Debakey High School For Health Professions. Cody Meng holds Master Of Data Science - Msds, Data Science from The University Of Texas At Austin.
Company email context
Email format at In-Depth Compressive Seismic, Inc
This section adds company-level context without repeating Cody Meng's masked contact details.
In-Depth Compressive Seismic, Inc
Review company-level records connected to Cody Meng before choosing the right outreach path.
Profile bio
About Cody Meng
Cody Meng is a Geophysicist & Machine Learning Specialist | B.S. Computational Physics and Astrophysics | Data Science M.S. Student | Rice ‘21 & ‘23, UT Austin ‘25 at In-Depth Compressive Seismic, Inc. He is proficient in Spanish.
Current workplace
Cody Meng's current company
Company context helps verify the profile and gives searchers a useful next step.
In-Depth Compressive Seismic, Inc
7 roles
Cody Meng work experience
A career timeline built from the work history available for this profile.
Ap Physics Teacher
- Developed all curriculum, course material, and independently taught all sections of AP Physics I and II with no other AP Physics teachers.- Served as faculty sponsor for two campus organizations: Robotics Club and Astrophysics & Aerospace Club, providing detailed afterschool instruction relating to coding and astronomy.
Jul 2022 - Jun 2023
Undergraduate Researcher
Rice University
Designed and completed various technical research projects including:- Personally operated university telescopes to obtain, process, and analyze photometric images of star cluster NGC 6633, statistically comparing stellar brightnesses and colors to typical stellar populations to obtain a precise distance estimation in high agreement with literature values. (Python, Unix, SQL)- Used Markov-chain Monte Carlo methods to analyze high-resolution radio interferometric images of protoplanetary disk HD163296, a disk of gas and dust surrounding a newborn star, to obtain spectral data revealing radial temperature, dust density, and dust size profiles. (Python, Unix)- Built and trained a convolutional neural network to quickly and autonomously identify solar flares using thousands of live solar images from the Solar Dynamics Observatory satellite. (Python [Pytorch], Unix [Google Drive API], git/github)- Undergraduate thesis: Processed and analyzed raw radio interferometric data from the most advanced telescope array in the world (ALMA) to produce the highest resolution radio image of protoplanetary disk LkCa 15 to date, proving the existence of a previously proposed third ring and searching for evidence of the second-ever observed accreting protoplanet. (Python, Unix)
Aug 2019 - May 2021
Undergraduate Student Researcher
Utilized Los Alamos high-performance supercomputing resources to model ring formation and dust growth in protoplanetary disks, large disks of gas and dust surrounding infant stars. Conducted high-dimensional parameter searches using viscosity dead zones to produce rings matching those of observed protoplanetary disks HD163296 and HD169142, attempting to constrain temperature, dust size, and dust density estimates in the disk as a function of radial distance from the star.
Jun 2019 - Dec 2020
Computational Physics Workshop
Used Los Alamos proprietary hydrodynamic protoplanetary disk simulations to model dust density and size growth in protoplanetary disk rings, finding strongly linear relationships between disk parameters such as total disk mass and maximum dust grain size before fragmentation.
Jun 2019 - Aug 2019
Deblending Research Intern
- Implemented and evaluated a newly proposed randomized QR decomposition algorithm in MATLAB for deblending and denoising seismic data with strongly overlapping waveforms, testing the algorithm against industry-standard synthetic data, and observing an immense speed increase of up to 50x faster than previous methods with no loss in output quality. - Researched and implemented alternative fast Eigenimage Filtering, Principal Component Analysis (PCA), and Singular Spectrum Analysis (SSA) methods of deblending seismic data, investigating the algorithms’ speed and efficacy in comparison to randomized QR decomposition. - Also investigated and tested the potential efficacy and feasibility of automated parameter selection, enabling small gains in algorithmic efficiency.
May 2018 - Jul 2018
Perfect Score Intern
Proofread, edited, and wrote solution manuals for practice SAT and ACT exams. Made eligible for the position by earning a perfect SAT score in 2015.
Jun 2017 - Aug 2017
Team & coworkers
Colleagues at In-Depth Compressive Seismic, Inc
Other employees you can reach at indepthcompressive.com. View company contacts for 6 employees →
4 education records
Cody Meng education
Master Of Data Science - Msds, Data Science
Master Of Arts - Ma, Teaching
Bachelor Of Science - Bs, Double Major In Computational Physics And Astrophysics - Minor In Computational And Applied Math
High School Diploma
FAQ
Frequently asked questions about Cody Meng
Quick answers generated from the profile data available on this page.
What company does Cody Meng work for?
Cody Meng works for In-Depth Compressive Seismic, Inc.
What is Cody Meng's role at In-Depth Compressive Seismic, Inc?
Cody Meng is listed as Geophysicist & Machine Learning Specialist | B.S. Computational Physics and Astrophysics | Data Science M.S. Student | Rice ‘21 & ‘23, UT Austin ‘25 at In-Depth Compressive Seismic, Inc.
Where is Cody Meng based?
Cody Meng is based in Houston, Texas, United States while working with In-Depth Compressive Seismic, Inc.
What companies has Cody Meng worked for?
Cody Meng has worked for In-Depth Compressive Seismic, Inc, Debakey High School For Health Professions, Rice University, Los Alamos National Laboratory, and Testmasters (Www.Testmasters.Com).
Who are Cody Meng's colleagues at In-Depth Compressive Seismic, Inc?
Cody Meng's colleagues at In-Depth Compressive Seismic, Inc include Tao Jiang, Peter Eick, and Joel Latchman.
How can I contact Cody Meng?
You can use AeroLeads to view verified contact signals for Cody Meng at In-Depth Compressive Seismic, Inc, including work email, phone, and LinkedIn data when available.
What schools did Cody Meng attend?
Cody Meng holds Master Of Data Science - Msds, Data Science from The University Of Texas At Austin.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trialPeople with similar names
Check these profiles if this is not the Cody Meng you were looking for.
View similar profiles