ENRIQUE MONDRAGON ESTRADA

Currently exploring and learning about:

Data Science | Computational Genomics | {Statistical,Systems} Genetics
{Bio,Neuro}informatics | Bio{statistics,mathematics,physics}

Cambridge, Massachusetts, United States

• May 2025 - I received for second time the Outstanding Performance Award at the FNNDSC Research Symposium. Boston, MA, US. | News


• Apr 2025 - Gave a virtual talk at my alma mater (apparently, my Spanish is native, but my research brain speaks English). Boston --> Mexico City. | YouTube


• Apr 2025 - I learned a lot about standards and policy at the GA4GH April Connect 2025 Meeting. Boston, MA, US. | Report


• Mar 2025 - Made my first contribution to an R package during the rOpenSci Mini-Hackathon. Boston, MA, US. | Post


• Mar 2025 - I met fantastic people at the 2025 BSCP Student Conference. Boston, MA, US. | Conference


• Nov 2024 - Great experience to be at #ASHG2024. Denver, CO, US. | Post


• Aug 2024 - I will be giving a platform presentation at the ASHG Annual Meeting in Denver, CO, US! | Agenda


• Mar 2024 - I received the Outstanding Performance Award at the FNNDSC Research Symposium. Boston, MA, US. | News


• Jul 2023 - I conducted a workshop on Data Science in Education at Monterrey Institute of Technology. Toluca, Edo de Mex, Mexico. | Badge


• Jul 2023 - I participated in the program Creating a Career Path in Cybersecurity from the OAS. Mexico City, Mexico. | Program

(Present)
FNNDSC | Boston Children's Hospital, Harvard Medical School

Research Assistant at Morton lab (2023 - Present)

Student Intern at NeuroIm lab (2022)

(2019 - 2023)
ITESM | Monterrey Institute of Technology and Higher Education

Research Assistant at EIRT lab, School of Engineering and Sciences (2021 - 2023)

Teaching Assistant in Physics and Mathematics courses (2019 - 2020)

Folate Interaction With Genetic Risk for Neural Tube Defects Among Infants in Bangladesh

Citation:
Mondragon-Estrada E, Wang X, Uhler MD, Farooque A, Liu K, Mukherjee SK, Ekramullah SM, Arman DM, Islam J, Suchanda HS, Christiani DC, Warf BC, Mazumdar M, Morton SU. Folate Interaction With Genetic Risk for Neural Tube Defects Among Infants in Bangladesh. Birth Defects Res. 2025 Dec;117(12):e70007. doi: 10.1002/bdr2.70007. PMID: 41378749.

Article

Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits

Citation:
Mondragon-Estrada E and Morton SU. Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits. STAR Protoc. 2025 Apr 7;6(2):103738. doi: 10.1016/j.xpro.2025.103738.

Article

Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact

Citation:
Mondragon-Estrada E, Newburger JW, DePalma SR, Brueckner M, Cleveland J, Chung W, Gelb BD, Goldmuntz E, Hagler Jr DJ, Huang H, McQuillen PS, Miller TA, Panigrahy A, Porter G, Roberts AE, Rollins CK, Russell MW, Tristani-Firouzi M, Grant PE, Im K, and Morton SU. Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact, iScience, Volume 28, Issue 2, 2025, 111707, ISSN 2589-0042, 10.1016/j.isci.2024.111707.

Article

Incorporating vertical collaboration to address sustainable development goals: the Monarch Route Project

Citation:
Cuevas-Cancino MdlO, Peña-Becerril M, Mondragon-Estrada E and Camacho-Zuñiga C (2024) Incorporating vertical collaboration to address sustainable development goals: the Monarch Route Project. Front. Educ. 9:1246889. doi: 10.3389/feduc.2024.1246889.

Article

Fostering digital transformation in education: technology enhanced learning from professors' experiences in emergency remote teaching

Citation:
Mondragon-Estrada E, Kirschning I, Nolazco-Flores JA, and Camacho-Zuñiga C (2023) Fostering digital transformation in education: technology enhanced learning from professors’ experiences in emergency remote teaching. Front. Educ. 8:1250461. doi: 10.3389/feduc.2023.1250461.

Article

Undergraduate's Perspective on Being an Effective Online Student During Lockdown due to COVID-19 Pandemic: An Educational Data Mining Study

Citation:
Mondragon-Estrada E and Camacho-Zuñiga C (2021). “Undergraduate's Perspective on Being an Effective Online Student During Lockdown due to COVID-19 Pandemic: An Educational Data Mining Study”. In: 2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop, pp. 1-5. doi: 10.1109/IEEECONF53024.2021.9733773.

Article

• Mondragon-Estrada E, Phuong NK, Tung TS, Hehnly C, Movassagh M, Ericson JE, Ha HTT, Broach J, Paulson JN,Morton SU, Schiff SJ. "Computational Metagenomics for Bacterial Detection in Neonatal Sepsis in Vietnam". Oral presentation delivered at the FNNDSC Spring Symposium. FNNDSC, Boston Children's Hospital, Harvard Medical School, Boston MA, USA, May 2025.


• Mondragon-Estrada E, Kang JW, Grant PE, Morton SU, and Chung AW. "Rare Variants in Constrained Genes are Associated with Altered Connectome in Congenital Heart Disease". Oral presentation delivered at the FNNDSC Fall Symposium. FNNDSC, Boston Children's Hospital, Harvard Medical School, Boston MA, USA, November 2024.


• Mondragon-Estrada E, PCGC Investigators, Grant PE, Im K, and Morton SU. "Using Machine Learning to Predict Noncoding Variant Associations with Sulcal Patterns in Congenital Heart Disease". Platform (Oral) presentation delivered at the ASHG Annual Meeting. American Society of Human Genetics, Denver CO, USA, November 2024.


• Mondragon-Estrada E, Phuong NK, Tung TS, Hehnly C, Movassagh M, Ericson JE, Ha HTT, Broach J, Paulson JN, Morton SU, Schiff SJ. "Prevalence of Orientia Tsutsugamushi in Neonatal Sepsis in Vietnam". Virtual presentation delivered at the M. Judah Folkman Research Day. Boston Children's Hospital, Boston MA, USA, September 2024.


• Mondragon-Estrada E, PCGC Investigators, Grant PE, Im K, Morton SU. "Noncoding genetic variants and sulcal pattern in congenital heart disease". Oral presentation delivered at the FNNDSC Research Symposium. FNNDSC, Boston Children's Hospital, Harvard Medical School, Boston MA, USA, March 2024.


• Mondragon-Estrada E, Farooque A, Gomberg D, Mazumdar M, Morton SU. "Assessing interactions between genetic and nutritional risk in spina bifida among infants in Bangladesh". Oral presentation delivered at the Global Health Symposium. Boston Children's Hospital, Boston MA, USA, February 2024.


• Mondragon-Estrada E and Camacho-Zuñiga C. "Undergraduate's Perspective on Being an Effective Online Student During Lockdowndue toCOVID-19 Pandemic: An Educational Data Mining Study". Virtual presentation delivered at the 2021 Machine Learning-Driven Digital Technologies for Educational Innovation Workshop. Monterrey Mexico, December 2021.

• Monterrey Institute of Technology and Higher Education (2018-2023)
  B.S Mechatronics Engineering
  Campus Toluca, Mexico.


• F+U Academy of Languages Heidelberg (2017)
  International Student Exchange Program
  Heidelberg, Baden-Württember, Germany.

• Outstanding Performance Award (Top 3 Ranking), FNNDSC Symposium, Boston Children's Hospital, Harvard Medical School, 2025.


• Outstanding Performance Award (Top 3 Ranking), FNNDSC Symposium, Boston Children's Hospital, Harvard Medical School, 2024.


• Scholarship for Academic Talent, Monterrey Institute of Technology and Higher Education, 2018.

• Some fun projects I worked on while I was an undergrad:

HackHarvard 2022: MySafetyNet

MySafetyNet is a mental health iOS app developed with Python, Swift and TensorFlow that keeps track of a person's daily mood using deep learning and NLP tasks; based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5).

Devpost project | Repository

Math4Robots: MATLAB Toolbox

Math4Robots is a MATLAB Toolbox that implements some functions for mathematical modeling of robot manipulators. Mathematical models are a powerful tool for representing geometric and dynamic aspects of robots. That is why, the motivation behind this project, was to implement mathematical functions that could facilitate these tasks.

File Exchange Release | Repository

Brain MRI Viewer

The motivation behind this project was to implement MRI preprocessing, visualization and windowing from scratch. With this code you can: Visualize the slices of each view (sagittal, coronal and axial) of your MRI NIfTi file (3 or 4 dimensions) and apply windowing to the MRI by managing the window width and level.

Repository

Nebulae-NN

Charles Messier was a French astronomer who was interested in finding comets. During his observations, he noticed many non-comet objects, such as nebulae and star clusters, that made his search a little time-consuming. Motivated to help Messier, in this project I implemented a neural network from scratch in Python to classify whether a celestial object is a nebulae or a star cluster.

Repository

Biomechanical Prosthetic Design

This was a project in which I designed a biomechanical arm prosthetic that could potentially be 3D printed.

GrabCAD

• I'm a strong enthusiast for lifelong learning -- one of the ways I enjoy learning new things is through online courses (one of my nerdy hobbies).

• Contemporary Biology | Coursera, University of North Texas | Nov 2025 | Certificate


• Principles of Biochemistry | edX, Harvard University | May 2025 | Certificate


• The Little Stuff: Energy, Cells, and Genetics | Coursera, University of Colorado Boulder | Jun 2024 | Certificate


• AI in Healthcare Specialization | Coursera, Stanford University School of Medicine | Mar 2024 | Certificate


• AI Series: AI in Healthcare Capstone Project | Coursera, Stanford University School of Medicine | Mar 2024 | Certificate


• Introduction to Genetics and Evolution | Duke University | Feb 2024 | Certificate


• Linear Regression in R for Public Health | Imperial College London | Jan 2024 | Certificate


• AI Series: Evaluations of AI Applications in Healthcare | Coursera, Stanford University School of Medicine | Dec 2023 | Certificate


• Survival Analysis in R for Public Health | Imperial College London | Nov 2023 | Certificate


• AI Series: Fundamentals of AI and Machine Learning in Healthcare | Coursera, Stanford University School of Medicine | Oct 2023 | Certificate


• CompTIA Linux+: Boot Process & Kernel | Skillsoft | Oct 2023 | Certificate


• CompTIA Linux+: Installation & File System Navigation | Skillsoft | Oct 2023 | Certificate


• CompTIA Linux+: Troubleshooting Services | Skillsoft | Oct 2023 | Certificate


• AI Series: Introduction to Clinical Data | Coursera, Stanford University School of Medicine | Sep 2023 | Certificate


• Multilevel Modeling | Erasmus University Rotterdam | Aug 2023 | Certificate


• AI Series: Introduction to Healthcare | Coursera, Stanford University School of Medicine | Aug 2023 | Certificate


• Statistical Inference and Modeling for High-throughput Experiments | edX, Harvard University | Aug 2023 | Certificate


• High-Dimensional Data Analysis | edX, Harvard University | May 2023 | Certificate


• Simscape Onramp | Mathworks | May 2023 | Certificate


• Data Analysis with R Specialization | Coursera, Duke University | Jan 2023 | Certificate


• Linear Regression and Modeling | Coursera, Duke University | Jan 2022 | Certificate


• Inferential Statistics | Coursera, Duke University | Dec 2022 | Certificate


• Scripting with Python and SQL for Data Engineering | Coursera, Duke University | Nov 2022 | Certificate


• Big Data, Genes, and Medicine | Coursera, The State University of New York | Aug 2022 | Certificate


• Introduction to Probability and Data with R | Coursera, Duke University | Aug 2022 | Certificate


• Fine Tune BERT for Text Classification with TensorFlow | Coursera | Jul 2022 | Certificate


• Mathematics for Machine Learning Specialization | Coursera, Imperial College London | Jul 2022 | Certificate


• Mathematics for Machine Learning: PCA | Coursera, Imperial College London | Jul 2022 | Certificate


• Mathematics for Machine Learning: Multivariate Calculus | Coursera, Imperial College London | Jun 2022 | Certificate


• Mathematics for Machine Learning: Linear Algebra | Coursera, Imperial College London | May 2022 | Certificate


• Deep Learning Specialization | Coursera, DeepLearning.AI | Apr 2022 | Certificate


• Convolutional Neural Networks | Coursera, DeepLearning.AI | Apr 2022 | Certificate


• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | Coursera, DeepLearning.AI | Apr 2022 | Certificate


• Sequence Models | Coursera, DeepLearning.AI | Apr 2022 | Certificate


• Structuring Machine Learning Projects | Coursera, DeepLearning.AI | Apr 2022 | Certificate


• Neural Networks and Deep Learning | Coursera, DeepLearning.AI | Mar 2022 | Certificate


• Deep Learning Onramp | Mathworks | Jan 2022 | Certificate


• Image Processing Onramp | Mathworks | Dec 2021 | Certificate

• Bioinformatics:
  • Genomic data processing and analysis
  • MRI processing and analysis
  • Statistical analysis
  
  
• Coding:
  • Python: Data science (data analysis & ML algorithms)
  • R: Statistical analysis and genomic data processing
  • MATLAB: Analysis of signals and systems
  • C: General programming & PIC microcontrollers
  • C++: Basic algorithms & data structures
  • Java: Basic algorithms & data structures
  • HTML/CSS/JavaScript: Elemental webpage design
  • SQL: Basic database management (SQLite and MySQL)
  • Assembly: PIC microcontrollers
  
  
• Operating systems:
  • GNU / Linux: Shell scripting, HPC & fundamentals of cybersecurity
  • Windows & MacOS
  
  
• Engineering:
  • Computer-aided design (CAD): SolidWorks (CSWA), NX, & AutoCAD
  • Control systems: LabVIEW, PLC programming (Ladder logic), & Arduino (C/C++)
  • Electronics: Logic & circuit design
  
  
• Languages:
  • Spanish
  • English
  • German
  • French