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About Me

Hi, my name is Everest Yang, and I'm from Massachusetts. I am a student at Brown University studying Computer Science! I am an incoming SWE Intern at Anduril Industries and MLR Intern at Netflix

My interests range from Deep Learning to Robotics, Oncology, Aerospace, and more. Currently, I am an intern at Zeta Surgical, a Series A startup focused on neurosurgical robotic navigation.

In my internship at AWS, I developed Generative AI applications using AWS services (Bedrock, S3, Lambda, etc). At NASA, I worked on wireless networking infrastructure to establish Wi-Fi and cellular communication (3GPP) on the Moon.

I also enjoy playing tennis, hiking, and watching movies!

Everest Yang Portrait
Zeta Surgical TMS Robot Platform

Zeta

My intern group with the AWS logo

AWS

My intern partner Kim and I with NASA's humanoid, Valkyrie

NASA

Experience

Anduril Industries

Robotics Software Engineer Intern

May 2026 - Aug 2026

Costa Mesa,‌ CA

• Incoming Summer 2026

Netflix Research

Machine Learning Research Intern

Aug 2026 - Dec 2026

Los Gatos,‌ CA

• Incoming Fall 2026 under Dr. Natali Ruchansky

Brown University, Intelligent Robot Lab

Robotics RL Research Engineer Intern

Sep 2024 - Present

Providence,‌ RI

• Conducting DL/Diffusion/CV research in the Intelligent Robot Lab under Prof. George Konidaris

• Built an active learning framework using LLMs/VLMs to autonomously learn symbolic abstractions, enabling zero-shot task planning with PDDL-style operators; Co-Authored RSS RoboReps Workshop Paper

• Senior Honors Thesis: Deformable State Estimation for Surgical Tissue Retraction

Columbia University Irving Medical Center

Comp. Oncology ML Research Intern

Mar 2024 - Present

Manhattan,‌ NY

• Conducted Computational Oncology research (HNSCC & Gliomas) in the Center for Radiological Research under Prof. Igor Shurak

• Developed CAST, a novel ML framework for causal survival forests to model time-varying treatment effects across medical interventions

• First Author at 3 NeurIPS Workshops + Second Author: International Journal of Radiation Oncology • Biology • Physics, ASTRO, Gilbert W. Beebe Symposium, Yale School of Medicine

Pear VC

Venture Fellow

Aug 2025 - Present

San Francisco,‌ CA

• First Pear Fellow from Brown! Sourcing & Diligence - Reach Out!

8VC

Engineering Fellow

May 2026 - Aug 2026

Austin,‌ TX

• Incoming Summer 2026

Brown University, Computer Science

Teaching Assistant

Jan 2026 - Present

Providence,‌ RI

• CSCI 1420: Machine Learning (Spring 2026)

Founders @ Brown

Co-Founder, President

Sep 2025 - Present

Providence,‌ RI

• Cultivating a community of Brown's best builders & investors. Website: foundersatbrown.github.io

Zeta Surgical (Series A, YC S19)

Robotics Software Engineer Intern

Sep 2025 - May 2026

Boston,‌ MA

• Developed C++ modules for XR cranial neurosurgical navigation, enhancing real-time alignment between imaging data and patient anatomy

• Built focused ultrasound algorithms to enable transcranial targeting through patient-specific skull models (GPU-accelerated k-Wave simulations)

• Optimized control loops of Zeta’s robotics platform, reducing latency and improving responsiveness during image-guided procedures - [Received Full-Time Return Offer]

Amazon Web Services (AWS)

ML Software Engineer Intern

May 2025 - Aug 2025

Seattle,‌ WA

• Developed Generative AI applications with automated ingestion, transformation, and querying of operational data using AWS S3, Lambda, Glue, Athena, and OpenSearch

• Built Retrieval-Augmented Generation (RAG) architecture integrating AWS Bedrock to support natural language queries across structured and unstructured enterprise data

• [Recieved Full-Time Return Offer] & 4x AWS Certified: Solutions Architect + ML Engineer Associate, AI + Cloud Practioner

NASA Johnson Space Center

Avionics Research Engineer Intern

Jun 2024 - Aug 2024

Houston,‌ TX

• Conducted Antenna Data Science research on Wi-Fi signal propagation for pressurized spacecraft; used ISS signal surveys from Astrobee, NASA's autonomous free-flying robot

• First Author NASA publication in IEEE WiSEE; research used for future missions such as the Artemis program, Lunar Gateway, Orbital Reef; $1.5k award from NASA Rhode Island Space Grant

• Spearheaded Python/Bash scripts for KPI network monitoring of Lunar Wi-Fi and 3GPP (GPS tracking, TCP/UDP/RSSI, LattePanda SBCs). Presented to Division Chief - [Received Return Offer to any NASA Space Center]

UC San Diego, NeuroML Lab

Comp. Neuro DL Research Intern

Jan 2024 - Aug 2024

San Diego,‌ CA

• Conducted Computational Neuroscience research under Professor Meenakshi Khosla: Built PyTorch-based Deep Neural Network framework for auditory recognition tasks to better understand AI explainability

• Processed 100 GB of raw audio stimuli/data to analyze specific trends and developed Deep Learning algorithms directly with PI

• Unfortunately, I had to leave the lab because of transferring to Brown, but I had a great time and passed off my project to another student!

Lexington Youth STEM Team

Co-Founder & Team Lead

Sep 2020 - Jun 2023

Lexington,‌ MA

• Co-founded 501(c)(3) nonprofit organization that built coding projects for the community during COVID-19

• Recognition from Town Government, School Superintendent, and published in Local Newspaper; Won Gold Civic Leadership Academy Award + 2x Gold Presidential Volunteer Service Award

• Mentored younger teammates on advanced coding techniques; scaled team to 50+ members today. Website: lexyouthstem.org

UMass Boston, Knowledge Discovery Lab

Comp. Hydrology ML Research Intern

Aug 2020 - Sept 2023

Boston,‌ MA

• Conducted Time Series Machine Learning research under Dr. Yong Zhuang: Created Auto-Regressive Integrated Moving Average (ARIMA) models to forecast river streamflow, a key indicator of flooding

• Analyzed Ganges River dataset measured in Q (m3/s) discharge volume. Plotted streamflow Log Volume using ADF tests and KL Divergence

• First Author Publication in Journal of Student Research (peer-reviewed and open-access)

Publications & Conferences

  1. E. Yang, R. Vasishtha, L.K. Dad, L.A. Kachnic, A. Hope, E. Wang, X. Wu, Y. Yuan, D.J. Brenner, I. Shuryak. "CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma." 3 NeurIPS Workshops: 1) AI for Science, 2) CauScien: Uncovering Causality in Science, 3) Learning from Time-Series for Health, 2025. Publication | Program | Poster
  2. E. Yang, S.U. Hwu, C. Lansdowne, J.P. Boster, K. deSilva. "Wi-Fi Signal Propagation of the International Space Station by Autonomous Free-Flying Robot." IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 2024. Publication
  3. E. Yang, S. Agarwal, C.J. Kinslow, S.K. Cheng, E. Wang, L. Yang, T.J. Wang, L.A. Kachnic, D.J. Brenner, I. Shuryak. "Temporal dynamics of radiotherapy and chemotherapy response in lower-grade gliomas using causal machine learning" Under review, 2025.
  4. I. Shuryak, E. Yang, R. Vasishtha, A. Hope, E. Wang, X. Wu, Y. Yuan, D.J. Brenner, L.A. Kachnic, L.K. Dad. "Integrating Mechanistic and Machine Learning Models to Assess Radiotherapy Fractionation Impact on HNSCC Patient Survival." International Journal of Radiation Oncology • Biology • Physics (IJROBP), 2025. Publication
    Also presented at: (Second Author for all 4)
    • American Society for Radiation Oncology (ASTRO) Annual Meeting, 2025. Poster
    • Gilbert W. Beebe Symposium on AI & ML in Radiation Therapy, 2025
    • Invited ML Therapeutic Radiology Talk, Yale School of Medicine, 2025
    • Night Science Workshop: Causal Inference & Reinforcement Learning, 2025
  5. S. Nourji*, T. Subramanian*, S. Pakala*, E. Yang*. "Evaluating Convolutional Neural Networks for Synthetic Image Detection in the Frequency Domain." IEEE International Conference on AI and Data Analytics (ICAD), 2025. (* indicates Co-First Author) Publication
  6. Z. Yang, B. Hedegaard, A. Jaafar, S. Thompson, Y. Wei, E. Yang, H. Fu, S.S. Raman, S. Tellex, G. Konidaris, D. Paulius, N. Shah. "SkillWrapper: Autonomously Learning Interpretable Skill Abstractions with Foundation Models." RSS Workshop on Learned Robot Representations (RoboReps), 2025. Publication
  7. E. Yang, Y. Zhuang. "Predicting Flood Streamflow with Auto Regressive Integrated Moving Average Models." Journal of Student Research, 2022. Publication

Featured Projects

Perovskite Visuals and Degradation eXperiment

Building Embedded Operating System in C for PVDX, Brown's 3U-CubeSat under NASA ELaNa program, designed to test next-gen perovskite solar cells in harsh orbital environments

Evaluating Fourier Transform Features for Detection of AI-Generated Images

Developed TensorFlow CNN architectures incorporating Fourier Transform features to enhance detection of AI-generated images

IEEE ICAD Publication

Interpreting Contrastive RL in Goal-Conditioned Environments

Contrastive Reinforcement Learning in MiniGrid: Learn goal-reaching behavior without explicit reward shaping; Interpretability studies and ablation experiments included

CS2470: (Grad) Deep Learning Final ProjectReport

Multi-Threaded Database Server

Created a multi-threaded server in C using TCP to manage concurrent client connections and facilitate interaction with a shared key-value database

Audio ML Language Classifier

Utilized PyTorch to design and fine-tune CNN that processes speech data and outputs user language. Converted audio files to a Mel Spectrogram and utilized librosa to run it through the CNN for image analysis

Public Transport Geospatial Analysis

Created EDA visualizations of the discrepancy between transportation systems and their CO2 emissions using Python and Data Science techniques

Project Poster

Shell

Built a Bash-like shell in C with job control, enabling foreground and background process management with signal handling

Everest Yang's Personal Website

Developed my Personal Portfolio Website from scratch using HTML, CSS, and JavaScript. TBH, I'm not the biggest fan of WebDev but I made this website for fun ;)

Perovskite Visuals and Degradation eXperiment

Building Embedded Operating System in C for PVDX, Brown's 3U-CubeSat under NASA ELaNa program, designed to test next-gen perovskite solar cells in harsh orbital environments

Evaluating Fourier Transform Features for Detection of AI-Generated Images

Developed and tested TensorFlow CNN architectures incorporating Fourier Transform features to enhance detection of AI-generated images

IEEE ICAD Publication

Interpreting Contrastive RL in Goal-Conditioned Environments

Contrastive Reinforcement Learning (CRL) in MiniGrid: learn goal-reaching behavior without explicit reward shaping; Analyzed emergent exploration and design choices through interpretability studies and ablation experiments

CS2470: (Grad) Deep Learning Report

Multi-Threaded Database Server

Created a multi-threaded server in C using TCP to manage concurrent client connections and facilitate interaction with a shared key-value database

Let's Connect.

Feel free to reach out and let me know how I can help!