CNY 149 13th Street | Charlestown, MA 02129, USA
Are you interested in our research and want to be a part of the team?
Our lab comprises staff researchers, postdocs, and students from diverse backgrounds (Physics, Computer Science, Molecular Biology, and Medicine). Additionally, our team is part of a lively community of computational labs at MGH Cancer Center and the Department of Biomedical Informatics at HMS and an integral part of the Investigational Cancer Therapeutics team at Termeer Center. You can read more about our broader community here.
Doga is the Principal Investigator of Gulhan Lab at Mass General Hospital (MGH) Cancer Center and an Assitant Professor of Medicine and Biomedical Informatics (Secondary) at Harvard Medical School (HMS). She received her Bachelor of Science degree from Bilkent University's Physics Department. She completed her Ph.D. in high-energy physics at the Massachusetts Institute of Technology and worked as a Research Fellow at CERN. After transitioning to biomedical informatics, she joined Park Lab at the Department of Biomedical Informatics (DBMI), HMS as a postdoctoral fellow. She studied mutational processes in cancer using signature analysis techniques. She contributed new algorithms to this emerging field that expanded its clinical applications by enabling signature prediction from targeted gene panels and robust signature discovery and assignments from whole exome and genome datasets. Additionally, she studied immunogenomic and molecular characteristics of tumors with repair deficiencies.
Her research program is dedicated to developing a comprehensive suite of tools for deciphering cancer genomes profiled through liquid and tissue biopsies. These tools target early cancer detection, patient classification and tumor evolution.
Yoo-Na works on cell-free DNA fragmentomics methods. She uses a novel signature analysis approach to decouple processes of cell-free DNA fragmentation to learn insights into cancer-related modifications in these processes. She exploits them to detect and characterize tumor DNA in plasma.
Past experiences: Yoo-Na obtained her bachelor’s degree in Economics and Biology from Columbia University in 2011. Following that, she pursued Medicine at Yonsei University College of Medicine, where she completed her internship and residency in Obstetrics and Gynecology at Yonsei University’s Severance Hospital in South Korea. After her residency, she worked as a biomedical analyst in 2020 at UCL/EUTOPS, focusing on epigenetics research using microarray data from various types of gynecological cancer samples, including cervical swabs, buccal swabs, and whole blood. Subsequently, she returned to her clinical role as a fellow in Gynecologic Oncology at Severance Hospital. During her fellowship, she actively participated in genomic and transcriptomic data analysis and ran clinical trials for gynecological cancers, including circulating tumor DNA samples. She worked at Park Lab as a postdoctoral researcher. She joined Gulhan Lab in 2024.
Sangmi (Sandra) Lee works on a circulating tumor DNA (ctDNA) project, a critical component of liquid biopsy, with a focus on mutations. Her work involves developing an ultrasensitive mutation detection algorithm and analyzing mutational signatures in ctDNA plasma samples. Her work in computational biology, marked by a commitment to integrating multi-omics data and mathematical methodologies, reflects a steady commitment to addressing medical challenges within the field of cancer research.
When she’s not in the lab, Sandra is an avid yogi who also enjoys swimming and playing squash to maintain her balance and well-being.
Past experiences: Sandra holds a Ph.D. in Chemical and Biomolecular Engineering from Korea Advanced Institute of Science and Technology (KAIST), South Korea. Specializing in systems biology, she characterized cancer metabolism and developed innovative cancer treatments using network modeling, big data and artificial intelligence. She joined Gulhan Lab in 2024.
Emma Ricart's research is centered on developing machine learning algorithms to infer gene expression and classify tumor subtypes through cfDNA analysis. These methods hold significant clinical value for the diagnosis and monitoring of cancer patients, particularly through the use of liquid biopsy.
Past experiences: Emma has a Ph.D. in Bioinformatics from the University of Geneva, she has over nine years of experience in analyzing complex datasets and developing innovative computational tools. She has expertise in immunopeptidomics, data analysis and pipeline design. Her career highlights include creating workflows for large-scale immunopeptidomics data integration at the Ludwig Cancer Research, advancing neoantigen prioritization for clinical trials, and developing software for nonribosomal peptide analysis during her doctoral studies. She joined Gulhan Lab in 2024.
Ankit Singh builds genomics pipelines and processes genomic tissue and cell-free DNA to profile cancer genomes. He builds machine learning methods to detect tumor in blood either through detection of circulating tumor DNA or and circulating tumor cells.
Ankit is passionate about merging healthcare with data science. He actively seeks opportunities to apply his skills in new and challenging contexts, especially those that bridge the gap between data-driven solutions and healthcare improvements. His proficiency in these technologies has been critical in effectively managing large datasets and integrating cloud solutions into genomic data analysis, ensuring scalable and reproducible research.
Past experiences: Ankit previously worked at MGH Center for Integrated Diagnostics on the development of machine learning web-interface for cancer of unknown primary prediction and training deep learning pipeline for classifying endometrial cancer subtypes. He joined Gulhan Lab in 2024.
Reid McNeil works on understanding mechanisms of metastasis through analysis of multi-omics datasets collected through the Rapid Autopsy program at the Termeer Center and through analysis of circulating tumor cells.
Outside of the lab, Reid enjoys the outdoors and activates like rock climbing, biking, and hiking to maintain health and wellness.
Past experiences: Reid is from Calgary, Canada where he received his BSc from Mount Royal University in Cellular and Molecular Biology. Reid developed a passion for medicine and received his MSc from the University of Calgary’s Cumming School of Medicine in bioinformatics and cancer biology, where he gained diverse experience related to next-generation sequencing, computational biology, and machine learning analysis at the Arnie Charbonneau Cancer Institute. He worked with interdisciplinary teams of clinicians and researchers exploring tumor biology using genomic and transcriptomic technologies and studied how genomic instability and somatic DNA alterations influence disease progression and offer opportunities for targeted therapeutics. He joined Gulhan Lab in 2024.
Garrett Lam's work involves developing large-scale data pipelines using cloud computing tools to process multi-omics data, as well as analyzing complex biological datasets to deliver valuable insights for healthcare professionals.
Past experiences: Garrett grew up in Hong Kong and earned his B.S. in Computer Science with a Specialization in Bioinformatics from UC San Diego. He has extensive experience in bioinformatics, data engineering, and cloud computing, having worked at leading institutions such as the Salk Institute for Biological Studies, the Altman Clinical and Translational Research Institute, and UC San Diego Health. Throughout his career, Garrett has collaborated with clinicians and researchers on projects focused on liver disease and triple-negative breast cancer. He joined Gulhan Lab in 2024.
PhD student
Bioinformatics and Integrative Genomics
2023-Present
Software Programmer
2023-Present
Northeastern Co-op (2024)
Bioinformatics Specialist I (2024)
Caris Life Sciences
CNY 149 13th Street | Charlestown, MA 02129, USA
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