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📖 Postdoc at MIT
💡 Happy to chat about ML, precision medicine, and computational omics.

Open-Source Research Projects

Libraries and Utilities
Library Description
Contextualized.ML PyPi Heterogeneous ML models for context-specific inference PyTorch
scContextualized.ML Tools for applying Contextualized.ML to single-cell analysis
clEHRity PyPi Automated deconfounding for EHRs
gam_purification PyPi Utilities for Purifying Generalized Additive Models
ebm_utils PyPi Utilities for Explainable Boosting Machines
my_twilio Simple utility to text myself when ML training is finished
GO_Translator Simple utiltiy for handling GO Terms in Python
Compilations and Resources
Title Description
CompBio Datasets for ML A list of compbio datasets for ML
ConferenceCountdown Webpage used to countdown time until ML/Compbio conference deadlines
SnareSeq A preprocessed version of Snare-seq data
Best Practices A collection of best practices for CS/ML phd students
Basic Python Repo A basic repo for Python projects
Papers and Experiments
Title Paper(s) Repo
Death by Round Numbers and Sharp Thresholds [Medrxiv 2022] Code
Automated interpretable discovery of heterogeneous treatment... [JBI 2022] Code
Dropout as a Regularizer of Interaction Effects [AISTATS 2022] Code
Neural Additive Models: Interpretable ML with Neural Nets [NeurIPS 2021] Code
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures... [Arxiv 2021] Code
Purifying Interaction Effects with the Functional ANOVA [AISTATS 2020] Code
Disentangling Increased Testing from Covid-19 Epidemic Spread [Medrxiv 2020] Code
Discriminative Subtyping of Lung Cancers from Histopathology Images... [Medrxiv 2020] Code
Differential Principal Components Analysis [Biorxiv 2019] Code
Precision Lasso: Accounting for Correlations and Linear Dependencies... [Bioinformatics 2018] Code
Retrofitting Distributional Embedding to Knowledge Graphs... [COLING 2018] Code
Personalized Regression [NeurIPS 2019], [ISMB 2018] Code
📈 Stats
My Github Stats

Ben Lengerich's Projects

best_practices icon best_practices

A collection of best practices and workflows for CS/ML phd students.

blocksparse icon blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

contextualized-bjl-fork icon contextualized-bjl-fork

A statistical machine learning toolbox for estimating models, distributions, and functions with sample-specific parameters.

discriminative-subtyping icon discriminative-subtyping

code for Discriminative Subtyping of Lung Cancers from Histopathology Images via Contextual Deep Learning

explainable-cnn icon explainable-cnn

Towards Visual Explanations for Convolutional Neural Networks via Input Resampling

genamap icon genamap

Visual Machine Learning of Genome-Phenome Associations

hockeystats icon hockeystats

A fun quick investigation into the effects of the presence of fans.

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

my_twilio icon my_twilio

Simple utility functions to use Twilio to text myself.

sccontextualized icon sccontextualized

Handlers and utilities for Contextualized analysis of single-cell datasets.

talktoebm icon talktoebm

A Natural Language Interface to Explainable Boosting Machines

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