Curriculum Vitae

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Education

Columbia University, Fu Foundation School of Engineering and Applied Science

New York, NY · B.S. in Electrical Engineering · Expected May 2028 · Cumulative GPA: 3.90

  • Academic Honors: Dean's List, all four semesters to date (Fall 2024, Spring 2025, Fall 2025, Spring 2026). Data Science Institute (DSI) Scholar, Fall 2025.
  • Credit Load: 87.5 credits completed across four semesters, including petition-approved 24- and 25-credit terms (term GPAs 3.91 and 4.01); 18.5 credits in progress for Fall 2026.
  • Electrical Engineering Coursework: Circuit Analysis (A), Circuit Analysis Laboratory (A), Signals and Systems (A-), Signals and Systems Laboratory (A), Introduction to Electrical Engineering (A), Electronic Circuits (A), Electronic Circuits Laboratory (A), Digital Systems Laboratory (A), Introduction to Communication Systems (A+), Digital Image Processing (A-).
  • Computing, Math & Neuro Coursework: Deep Learning in Biomedical Imaging (A, graduate), Magnetic Resonance Spectroscopy: A Window to the Living Brain (A, graduate), Computing with Brain Circuits of Model Organisms (A), Data Structures in Java (A), Introduction to Computing for Engineering & Applied Science (A+), Multivariable Calculus (A), Accelerated Physics I (A) & II (A-), Probability for Engineers (B+).

St. Paul's School

Concord, NH · Classical Honors Diploma · June 2024

  • Cum Laude Society · Latin and Ancient Greek.

Research Experience

Laboratory for Intelligent Imaging and Neural Computing (LIINC), Columbia University

Undergraduate Researcher, Brain–Computer Interface · Feb 2025 – Present · PI: Prof. Paul Sajda

  • Architecting a multimodal hierarchical transformer, in collaboration with Google DeepMind, that unifies electrophysiology (EEG, ECoG) and hemodynamics (fMRI, fNIRS) in a shared representation.
  • Pre-training and fine-tuning across large-scale public neural datasets (TUH EEG Corpus, SEED, THINGS), standardizing heterogeneous protocols, channel montages, and temporal resolutions.
  • Developing and maintaining the downstream evaluation harness for reproducible comparison across neural decoding benchmarks.

Zuckerman Institute, Columbia University (Dr. Jia Guo Lab / Heffner Biomedical Imaging Lab)

Undergraduate Researcher, Biomedical Imaging · Jan 2025 – Present (Paid Research Assistant since Spring 2026) · PI: Dr. Jia Guo

  • Engineered a Hybrid 2D CNN-Transformer for volume-transfer-constant (Ktrans) map reconstruction from DCE-MRI in Focused-Ultrasound-induced Blood-Brain-Barrier (FUS-BBB) opening studies, cutting reconstruction time and surpassing state-of-the-art accuracy (first-authored ISMRM 2026 abstract).
  • Built a Hybrid 3D CNN-Transformer for accelerated Cerebral Blood Volume (CBV) reconstruction from Perfusion-Weighted Imaging (PWI) MRI, accompanied by an automated preprocessing pipeline (brain extraction + rCBV calculation) replacing a manual multi-hour workflow (first-authored ISMRM 2026 abstract).
  • Developed a novel methodology deriving Ktrans maps directly from Intravoxel Incoherent Motion (IVIM) MRI without gadolinium contrast, establishing a non-invasive pathway for patients contraindicated for gadolinium contrast agents.
  • Developed and validated an encoding-decoding framework generating voxel-wise amyloid-β and tau pathology maps directly from non-invasive T1-weighted MRI against PET ground truth.
  • Leading ResUMamba3D (ADNI_T1w_PET): a 3D U-Net with a Mamba state-space bottleneck synthesizing multi-tracer PET (AV45 amyloid-β, AV1451 tau) from T1w MRI on ADNI data with uncertainty-weighted multi-task loss (PyTorch + MONAI).
  • Current research: Virtual PBV (pulmonary blood volume from dual-energy CT, MESA cohort) and ADNI plasma-NfL.

University of Tokyo (Inami-Monnai Lab & Yamashita-Set Fiber Photonics Lab)

HCI Research Intern · Jun – Aug 2023 · Tokyo, Japan

  • Built a tactile 3D force-sensing system using load-cell arrays for physical HCI prototyping, writing firmware in Arduino C and Java.
  • Initiated an optical-fiber dual-axis force-sensing project using polarimetric state measurements on a Poincaré sphere, seeding a follow-on lab publication.

Industry & Engineering Experience

SoftBank Corp. — Corporate IT Division

Software Engineering Intern (Special overseas-student track) · Aug 2026 · Tokyo, Japan

  • Built an offline enterprise ontology data platform (macOS Swift, WKWebView) with branch-aware data lineage, permission evaluation, and dynamic scheduling to orchestrate complex business operations.
  • Engineered an automated LLM validation pipeline (Chrome Extensions, Google Apps Script, OpenAI API) and a local-LLM (Ollama) agent to enforce workflow state-transition guardrails across 200 scenarios and 100 rules.

ResearcherX

Co-founder and Product Lead · 2025 – Present · New York, NY

  • Built an AI document editor with a real-time logic-validation engine for academic writing; architected the backend infrastructure (FastAPI, LanceDB, Neo4j, LiteLLM) and knowledge-graph extraction pipeline.
  • Advanced to the final round (top 6, only undergraduate finalists) of Columbia's Millard Chan '99 Technology Challenge; placed 2nd in Columbia's Lion's Cage (5 points from 1st on a 300-point rubric).

EchoID

Independent Developer · 2026

  • Built a solo, fully-local macOS meeting notetaker integrating speaker diarization (pyannote.audio), local speech-to-text (WhisperX), and private summarization (Ollama).

EEG-Controlled Robotic Hand

Independent Engineering Project · St. Paul's School · 2024

  • Designed and built an end-to-end brain–computer interface integrating a Python neural network classifier, a JavaScript EEG streaming layer, and Arduino C motor-control firmware for real-time robotic hand articulation.

Teaching & Mentoring

BRAINYAC, Zuckerman Institute, Columbia University

Research Mentor · 2026 – Present

  • Mentor two high-school researchers through a full scientific research cycle investigating brain-age prediction from structural T1-weighted MRI. Mentors in this program are typically PhD students, postdocs, or faculty; selected as an undergraduate.

Columbia University Department of Electrical Engineering

Lab Assistant — Signals and Systems Laboratory (ELEN E3084) · Fall 2026

  • Assisting laboratory experiments, student circuit hardware troubleshooting, and signal processing workflows.

Academic Tutoring & Student Advisory

2023 – 2026

  • Volunteer Tutor for an online free school in Japan (2023), providing academic support for students outside conventional schooling.
  • Student Advisor at St. Paul's School (2023 – 2024), peer dormitory advisor and faculty liaison.
  • Organized an academic exchange and campus visit for 30–40 Japanese high-school students at Columbia University (Feb 2026).

Publications

See abstracts and details on the Publications page.

Honors & Awards

Leadership & Community

Boarding Schools Alumni of Japan (BSAJ)

Committee Head, 2023 – 2024 · Member since 2021

  • Mentored Japanese middle- and high-school students through the US boarding-school application process and the transition abroad.

St. Paul's School

Student Leadership · 2022 – 2024

  • Dorm Prefect (2023 – 2024) · Re-Founder, Japanese Society (2022 – 2024) · Co-Head, International Society (2023 – 2024) · Diversity, Equity, Inclusion and Justice (DEIJ) Council (2023 – 2024).

Craft

Glassblowing since 2021, trained at St. Paul's School under Nanda Soderberg, who also teaches at UrbanGlass. Received a special recognition for the work in the course. Selected pieces on the Glass page.

Technical Skills

Programming & Systems: Python, MATLAB, C#, Java, JavaScript, Arduino C, Swift.
Spoken Languages: Japanese (native), English (native).
Machine Learning: PyTorch, TensorFlow, MONAI, transformers, state-space models (Mamba), CNNs, self-supervised learning, multi-task learning, distributed training.
Biomedical Imaging & Neuro: MRI (DCE, IVIM, PWI, T1w), MRS, PET, dual-energy CT, EEG, ECoG, fNIRS, rCBV and Ktrans analysis, BIDS, PhysioLabXR.
Tools & Frameworks: macOS Swift / WKWebView, FastAPI, LanceDB, Neo4j, Ollama, Unity, Git, 3D CAD/modeling, microcontrollers.