David Bressler Email & Phone Number

San Francisco, CA, US

New York, NY, US

• WikiNLS.com: Wikipedia natural language search web application
• Used Pytorch pretrained BERT architecture as backbone. Fine-tuned on SQuADquestion-answering dataset. Deployed app with Flask/nginx backend at WikiNLS.com.Published multiple articles in Towards Data Science on.
• Speed up your deep learning language model up to 1000% with the adaptive softmax, Part 1. https://towardsdatascience.com/speed-up-your-deep-learning-language-model-up-to-1000-with-the-adaptive-softmax-part-1-e7cc1f89fcc9
• Speed up your deep learning language model up to 1000% with the adaptive softmax, Part 2: Pytorch implementation. https://towardsdatascience.com/speed-up-your-deep-learning-language-model-up-to-1000-with-the-adaptive-so.
• Building a convolutional neural network for natural language processing. https://towardsdatascience.com/how-to-build-a-gated-convolutional-neural-network-gcnn-for-natural-language-processing-nlp-5ba3ee730bfbPublished.
• Adaptive Softmax: https://github.com/DavidWBressler/adaptivesoftmax

Berkeley, California, US

Built a classifier classifying skin lesions into >50 categories. Top-5 average sensitivity >75%, specificity >98%. Used Fastai library with Pytorch. Model based on pretrained 34-layer ResNet fine-tuned on user-submitted images. Model uses 1-cycle superconvergence for quicker training times, as well as discriminative layer training to assure optimal.

US

• Received US patent (20160005320) for developing Brainful, a novel internet-based pain-relief brain-training program, used by >5K patients to reduce pain without drugs.
• Led clinical trial with >1K online subjects to show efficacy of Brainful platform for pain-relief. Led trial design, conducted the experiment, analyzed results.
• Drafted Matlab code to automatically query MongoDB database, pull select clinical data in JSON format, analyze data, and produce summary graphs and results dashboard.
• Designed and conducted extensive user-testing with >50 users in person and >5K users online to improve Brainful platform.
• Created ‘Neurotype’ web application. User answers 50 web-based questions that are stored in SQL table, table is queried through PHP/mysql, and data is crunched to create and return html report.

Berkeley, CA, US

• Led experiments using EEG/ERP to study visual spatial attention.
• Helped develop new technique for EEG source localization.

Berkeley, CA, US

• Led neuroscience projects resulting in five publications. Research focused on brain patterns of visual spatial attention, and effects of attention on perception. Research cited >450 times in scientific literature.
• Created novel fMRI time-series analysis, enabling discovery of a new brain mechanism.Was first to describe attention-modulated suppression of infraslow noise in visual cortex.
• Created new retinotopic mapping procedure using reverse correlation andnonparametric permutation significance testing, enabling mapping across visual cortexwhile simultaneously estimating eccentricity-dependent.
• Generated MATLAB scripts to control visual display of experimental stimuli, collecthuman responses and fMRI data, and analyze resulting 4-dimensional brain datasets.
• Presented research through talks and posters at eight international scientific conferences.

• Led projects that resulted in seven publications (two first-author)
• Managed three undergraduate students (who are co-authors on publications).
• Increased brain analysis code efficiency by 2000%. Analysis ran in hours, not days.

Certificate, Part Ii: Cutting Edge Deep Learning For Coders

Doctor Of Philosophy (Phd), Visual Neuroscience

Bachelor'S Degree, Psychology