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Adam Lang

Staff Data Scientist at IDEXX

United States
500+ connections
Adam Lang on LinkedIn

Updated 7 months ago

22+

Years Experience

18

Roles

90

Skills

8

Education

About

Adam is a former physician now accomplished Data Scientist & Machine Learning Engineer, with a master’s in Data Analytics and extensive expertise in NLP, machine learning, deep learning, and big data. Proficient in Hugging Face transformers, fine-tuning, and deploying LLMs, he excels in supervised and unsupervised learning, model evaluation, hyperparameter optimization, and monitoring. His technical toolkit includes Python, PyTorch, TensorFlow, PySpark, SQL, Knowledge Graphs, and Ontologies. Adam’s unique strength lies in demonstrated excellence in applied technical problem-solving across industries. His passion for Data Science began in 2002 during undergraduate studies at Ithaca College, excelling in applied sciences like Organic Chemistry, Biochemistry, Physics, and Exercise Physiology—fields demanding experimental design, data analysis, and predictive modeling. This foundation carried into his medical career, where he conducted research and published findings before transitioning seamlessly into Data Science. Adam specializes in understanding complex problems, defining requirements, implementing innovative solutions, and collaborating with cross-functional agile teams to deliver domain-agnostic results. SKILLS Programming: Python, PySpark, SQL, JavaScript, Cypher Cloud: AWS, Azure, Databricks | Databases: Mongo, Astra, Neo4j, Kuzu, GraphDB, Neptune, Arango, Chroma, Weaviate | CI/CD: GitLab, Azure DevOps AI/ML: PyTorch, TensorFlow, Scikit-Learn, PyG, NetworkX NLP: Embeddings, Sentiment Analysis, NER, Topic Modeling, Transformers: encoders (e.g. BERT, DistilBERT, RoBERTa), decoders (e.g. Llama, Mistral, Qwen, Gemma, Phi-3), encoder-decoders (e.g. BART, T5) Data Science: Pandas, NumPy, Matplotlib, Seaborn, ETL, EDA, feature engineering, Statistics, A/B Testing, Forecasting, Visualization Supervised Machine Learning: Regression, Classification, Linear, Logistic, KNN, SVM, Decision Trees, Random Forests, XGBoost Deep Learning: LSTMs, RNNs, GNNs, CNNs, Computer Vision Unsupervised Machine Learning: Clustering, Dimensionality Reduction (PCA, t-SNE, NMF, UMAP) Generative AI: Prompt Engineering, OpenAI, Anthropic, RAG, Vector DBs, LangChain, LangGraph, Open-source LLMs (Gemma, Mistral, Llama, Phi-3), LLM optimization, quantization, observability Fine-Tuning LLMs: Full fine-tuning, PEFT: Soft Prompts (Prompt/Prefix tuning, Adaptation), LoRA/QLoRA Clinical Informatics: Ontologies (SNOMED-CT, UMLS, RxNorm, LOINC, RadLex, OMOP, MeSH, DICOM), Clinical Text & Spoken Language Research (Physionet, MIMIC, i2b2) EHR Experience: Epic, Meditech, Cerner, Athena

Experience (18 roles)

IDEXX · Full-time

Staff Data Scientist

Current

IDEXX · Full-time

May 2025 - Present · 4 mos·Westbrook, Maine, United States · Remote

- Clinical Generative AI and NLP - Graph Data Science (Knowledge Graphs, Networks) - Databricks Projects 1. Building a biomedical + clinical patient knowledge graphs: Graph analytics, Graph ML, Ontology development, entity linking + resolution, Gen AI 2. Building recommendation systems 3. Gen AI ...

Workhuman · Full-time

NLP AI Data Scientist

Workhuman · Full-time

Jul 2024 - Apr 2025 · 10 mos·Framingham, Massachusetts, United States · Hybrid

Effective contributor with creativity, innovation, & mentorship skills. Key strengths: - Rapidly translated ideas into actionable requirements & code w/ precision & efficiency - Proactively solved complex problems w/ tenacity, curiosity & commitment to excellence - Consistently turned challenges in...

Full-time · 3 yrs 1 mo

2 roles · Jul 2021 - Jul 2024

Senior NLP Engineer and Data Scientist

Aug 2023 - Jul 2024 · 1 yr·Burlington, Massachusetts, United States · Remote

Senior NLP Engineer and Data Scientist - Microsoft Health & Life Sciences AI - Leveraged skills in NLP, Data Science, machine learning and healthcare informatics to build natural language and Generative AI solutions. - Advanced RAG pipelines: Tools, Agents, Knowledge Graphs, ReRank vs hybrid search...

Principal NLP Developer and Data Scientist

Jul 2021 - Aug 2023 · 2 yrs 2 mos·Burlington, Massachusetts, United States · Remote

**Nuance acquired by Microsoft in March 2022** - Leveraged healthcare domain knowledge/user experience + Data Science skills to engineer custom Natural Language Understanding (NLU) models + speech recognition for EHRs: Epic, Meditech, Athena, Cerner. Using Conversational AI, we built an interactive...

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Education (8)

University of Denver

University of Denver

Sep 2023 - Jan 2024

Grade: 4.0 Digital Health Informatics Graduate Program Skills: Interoperability · Health Informatics · Digital Health · Electronic Health Records (EHR)

Carnegie Mellon University School of Computer Science

Carnegie Mellon University School of Computer Science

Dec 2022 - Mar 2023

Carnegie Mellon University School of Computer Science - Natural Language Processing Certificate Faculty: David Mortensen, Ph.D., Alan Black , Arya Roy Modules: 1. Linguistic Morphology: Morphemes, Finite State Automata/Transducers 2. Language Models/Smoothing: N-gram/Neural LMs, Conditional Prob, OOV, Backoff, Perplexity 3. Classifiers: Embeddings, Naive Bayes, Linear, Neural, Noisy Channel, sentiment, TF-IDF, Topic, Word2Vec, GloVe 4. Deep Learning: RNN, CNN, LSTM, feed forward, attention, augmentation, noise, BERT, ELMo, GPT-3, XLNet, Transformers 5. Sequence Labeling: POS, NER, noisy channel, HMM, RNN 6. Lexical Semantics: decomposition, ontology, distributional, WordNet, PMI 7. Word Embeddings: sparse/dense vectors, skip-gram, CBOW, brown cluster, stability + task eval 8. Phrase structure/Dependency Syntax 9. Sentence Semantics: role labeling, logic, lambdas Python Projects: Tensorflow/Keras, PyTorch, Gensim, Spacy, NLTK, Word2Vec, GloVe, Stanza, scikit learn Skills: Natural Language Processing (NLP) · Natural Language Understanding · Deep Learning · Python (Programming Language) · Large Language Models (LLM) · Data Science · Unstructured Data · PyTorch · Conversational AI · Machine Learning · TensorFlow · Neural Networks · BERT (Language Model) · Word Embeddings · Computational Linguistics · Keras

General Assembly

General Assembly

Sep 2021 - Nov 2021

JavaScript Software Development Course - Fundamentals of JavaScript and ES6, jQuery, Events/DOM, JSON, HTML/CSS, Bootstrap, JSX - APIs, OAuth - ASYNC JS and Callbacks - React hooks - Building applications using React.js, Node.js, CRUD & Firebase, APIs. - Command Line Interface, GIT and version control, CLI applications, VS code - Frontend and Backend Development Final Project: - Built a "News Sentiment Analysis Application" using React.js, Node.js, HTML/CSS and Heroku. - Application allows users to perform search queries of a News API on any topic. Users can then navigate to a separate page and drop a news headline or article text into a form where instant sentiment analysis is performed returning Sentiment scores (scale +5 to -5) and General Sentiment ranking. I built the application using the Node.js "Sentiment" library which uses the AFINN-165 wordlist/corpus. My goal of the application was to combine JS development skills with my data science/NLP skills in Node.js. Skills: Git · JavaScript · Python (Programming Language)

Skills (90)

Retrieval-Augmented Generation (RAG)BiomarkersLangSmithPEFTCLIPAWSTransformersPythonTensorFlowProblem SolvingAmazon Web Services (AWS)Knowledge GraphsOrganic ChemistryScientific MethodologyPrompt EngineeringSemantic SearchGraph Data ScienceMATLABPydanticGraph AlgorithmsData CollectionAWS SageMakerExercise PhysiologyHugging FaceSports ScienceBiomechanicsspaCyMySQLSageMakerHugging FaceLangChainLlamaIndexNeo4jTableauGoogle AnalyticsProphetYouTubeGoogle ColabGitAzureJiraConfluenceNode.jsJavaScriptspaCyRayMongoDBPythonLinearProphetGitTensorFlowTransformersspaCyNLTKscikit-learnPandasSeabornMatplotlibMySQLRStudioTableauXGBoostJavaScriptjQueryReactNode.jsFirebaseCombineTransformersPythonTensorFlowMySQLJavaScriptCloudAWSAzureNeo4jChromaWeaviateGitLabscikit-learnNetworkXPandasMatplotlibSeabornLinearXGBoostLangChainPEFT
Certifications (20)

Linear Classifiers in Python

DataCamp

Ontotext Academy certificate

Ontotext

ChatGPT Prompt Engineering for Developers

DeepLearning.AI

Statistical Thinking in Python (Part 1)

DataCamp

Building Knowledge Graphs with LLMs

Neo4j

Feature Engineering for Machine Learning in Python

DataCamp

Machine Learning with Tree-Based Models in Python

DataCamp

Executing Graph Algorithms with GraphFrames on Databricks

Pluralsight

Statistical Thinking in Python (Part 2)

DataCamp

Neo4j Certified Professional

Neo4j

Python Data Science Toolbox (Part 2)

DataCamp

Knowledge Graphs for RAG

DeepLearning.AI

Microsoft Global Hackathon 2023

Microsoft

Generative AI with Large Language Models

DeepLearning.AI

Python Data Science Toolbox (Part 1)

DataCamp

Supervised Learning with scikit-learn

DataCamp

Unsupervised Learning in Python

DataCamp

AMIA 10x10 with Oregon Health & Science University - Introduction to Biomedical & Health Informatics

AMIA (American Medical Informatics Association)

Advanced AI: NLP Techniques for Clinical Datasets

LinkedIn

Human Research - Data or Specimens Only Research

CITI Program

Publications (12)

Use of AlloPatch ® Pliable, a Human Acellular Dermal Matrix, as an Adjunctive Therapy for Chronic Non-Healing Diabetic Foot Ulcers: Case Studies and Clinical Review

Musculoskeletal Tissue Foundation (MTF) Biologics · Nov 1, 2016

When There Are Acute Changes In Mental Status In Patients With Diabetes

Podiatry Today · Feb 23, 2010

A Double-Blind, Multi-center, Randomized, Sham-Controlled, Parallel Group Comparison of the derma PACE (Pulsed Acoustic Cellular Expression) Device in Conjunction with Standard of Care Versus Standard of Care Alone in the Treatment of Diabetic Foot Ulcers

Jul 1, 2015

Prospective Clinical-Surgical Evaluation of Safety and Efficacy of Acellular Human-Dermis in the Repair of Tendons-Ligaments of the Foot/Ankle

Foot & Ankle Orthopaedics · Sep 12, 2016

Load deformation evaluation of lateral radiographic foot measurements

J Am Podiatr Med Assoc · Jan 1, 2010

Literature Review: Outcomes of Ankle Arthroplasty with Preoperative Coronal-Plane Varus Deformity of 10˚ or Greater

ACFAS · Oct 1, 2013

A Randomized, Double-Blind, Multicenter, Superiority, Placebo-Controlled Phase 3 Study of Pexiganan Acetate Cream 1% Applied Twice Daily for 14 days in the Treatment of Adults with Mild Infections of Diabetic Foot Ulcers

Aug 1, 2016

The Diagnosis of Acute Compartment Syndrome of the Foot: A Critical Review of an Academic Health Science Center Experience.

Poster Presentation at the American College of Foot and Ankle Surgeons Scientific Conference - Orlando, Florida · Mar 1, 2014

A Randomized, Double-Blind, Parallel-group, Vehicle-controlled Phase 3 Clinical Trial to Evaluate the Efficacy and Safety of DSC127 in Treating Non-healing Foot Ulcers in Subjects with Diabetes Mellitus

Dec 1, 2015

Prospective, Randomized, Controlled, Multi-Center Comparative Study of Healing Using Dehydrated Human Amnion/Chorion Membrane Allograft, Bioengineered Skin Substitute, or Standard of Care for Treatment of Chronic Diabetic Lower Extremity Ulcers

ACFAS Scientific Conference 2015 · Dec 1, 2015

Prospective Randomized Multicenter Comparative Effectiveness Study Comparing; Two Component Modular Digital Implant Versus K-Wire Fixation For Surgical Correction of Hammertoes

Nextremity Solutions · May 11, 2016

Load effect on Metatarsus Adductus Angle

The Foot · Dec 1, 2009

Honors & Awards (2)

National Society of Leadership & Success

Issued by National Society of Leadership and Success · Jan 2020

Associated with Southern New Hampshire University Membership in honor society for 4.0 gpa and exemplary work in masters degree program.

Southern New Hampshire University Distinguished Scholar Award

Issued by Southern New Hampshire University · Apr 2021

Associated with Southern New Hampshire University Award given to top academic performers in the Master of Science in Data Analytics Program.

Frequently Asked Questions

What is Adam Lang's current role?
Adam Lang is currently working as Staff Data Scientist at IDEXX · Full-time.
Where did Adam Lang study?
Adam Lang studied Graduate Certificate, Digital Health Informatics at University of Denver. They have 8 education entries on their profile.
What skills does Adam Lang have?
Adam Lang's top skills include Retrieval-Augmented Generation (RAG), Biomarkers, LangSmith, PEFT, CLIP. They have 90 skills listed on their profile.
Where is Adam Lang based?
Adam Lang is based in United States.

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