Personal Website
Hello! I’m currently a fourth year Electrical Engineering & Computer Science student at UC Berkeley. Work I love doing involves the intersection of engineering and medicine.
I currently work at UCSF in the Big Data in Radiology (BDRAD) lab where I’m involved in various projects and collaborations pertaining to the lungs.
My recent experience has given me skills in machine learning, software development and data analysis. Feel free to explore some of my work and reach out to me.
Undergraduate Researcher at UCSF Department of Radiology current role
In-Context Learning of Intuitive Physics in Transformers linked
`Radiomics Analysis for Predicting Growth of Subsolid Lung Nodules on CT linked
Elements of Success in NIH Grant Proposals linked
Analyzing the Viability of Oncolytic Viruses for Treating Cancer linked
Clinical and Imaging Factors Associated with Growth of Subsolid Pulmonary Nodule on CT RSNA
Modeling Risk of Progression to Lung-RADS4 from a Benign Lung Cancer Screening CT using Imaging and Clinical Data RSNA
Radiomics Analysis for Predicting Progression of Part-Solid Nodules on CT RSNA
Radiological Society of North America Conference 2023 [Chicago, November 2023]
UCSF Imaging Research Symposium [San Francisco, October 2023]
Advances in Artificial Intelligence & Novel Imaging Methods Conference [San Francisco, September 2023]
Emojify (Keras LSTM sentiment classifier utilizing GloVe algorithm, word embeddings, and negative sampling to add representative emojis to plaintext)
Dropbox (software written in Golang to securely, reliably, and confidentially exchange files robustly against adversarial attacks)
Neural Machine Translation with Attention Model (Tensorflow attention model with bidirectional LSTMs to translate human readable dates into machine readable dates)
Analysis of Robustness Against Adversarial Attacks (mathematical analysis on optimization and robustness to noise and adversaries)
Trigger Word Detection (attention model with GRUs to synthesize and process audio recordings and detect specific words in noisy audio)
Dinosaur Name Synthesization (RNN built from scratch for character-level text generation for realistic dinorour names)
Spam VS Ham NLP Classification (SVM model with NLP techniques)
Decision Trees (model built from scratch)
Gitlet (a version control software)
Classify (a Machine Learning image classification program written in RISC-V assembly)
CNN Breast Density Classification (ResNet model) linked
Snake (a playable game written in C)
Australia Weather Prediction Forecast
Housing Price Predictor (XGBoost Classifier)
ci2 Internship Hackathon Project (DL model for predicting bone fragmentations)
SIXT33N (voice controlled robotic car)
CPU (a single-cycle processor built in Logism)
American Physician Scientist Association at UC Berkeley President, Professional Development Chair, Former Underclassman Representative
Zuckerberg San Francisco General Hospital Medical Surgery Clinical Assistant Volunteer
Association of Women in EE&CS Professional Development Committee, Mentor for Underclassmen
Society of Women Engineers Overnight Host Program Volunteer
University Health Services COVID-19 Emergency PCR Testing Lead
American Red Cross Blood Donor Ambassador, Research & Data Entry Volunteer , VP @ DHS chapter
Open Heart Kitchen Kitchen staff & server
Coursera Sequence Models Course Certification certificate
Academic Intern for CS 61A: The Structure & Interpreation of Computer Programs (taught in two discussions for ~10 students weekly)
LinkedIn
GitHub
Website
Email: mbondarenko AT berkeley DOT edu