We are actively recruiting postdoctoral scholars, graduate students, visiting graduate students, and motivated undergraduate trainees to join our group at the Broad Institute and MGH/HMS. We welcome new colleagues and friends who are highly motivated, independent, and creative thinkers to achieve predictive & programmable biology and address critical biomedical challenges. 

Research Focus: Our lab develops and applies biologically grounded multimodal AI technologies to decode genome regulation and pioneer next-generation cell engineering and de novo cell type design. Genome regulation and cell fate determination are intrinsically multimodal, integrating DNA sequence, protein complexes, and their intricate interactions. Across the past few years, we have built foundational multimodal genomics AI models — such as C.Origami and Chromnitron — that understand the key principles of genome regulation and enabled high-throughput in silico screens to accelerate discoveries. We are now at a transformative point: moving toward a predictive, quantitative understanding of cell fate determination, enabling programmable design of gene regulatory circuits and cell functions.

Candidate Profile: We welcome motivated and ambitious scientists across career stages to join us in this exciting exploration. Candidates should have a strong background & interests in areas such as (1) multimodal machine learning, (2) single-cell multi-omics & computational systems biology, (3) synthetic biology, (4) aging, stem cell & regenerative biology, cancer biology, immunology, or molecular neuroscience. Strong motivation for independent research, problem-solving ability, and enthusiasm for working in a multidisciplinary and collaborative environment are essential. Successful candidates will develop and/or apply state-of-the-art multimodal genomics AI technologies to address critical aging, regeneration, and cancer biology challenges.

Location: Broad Institute of MIT and Harvard & Massachusetts General Hospital/Harvard Medical School

Contact: Please email boxialab{at}gmail.com with your CV and a brief description of your background, research interest(s), and career goal(s). Selected candidates will be invited for an initial Zoom or in-person meeting. 2–3 reference letters will be requested afterward.

Mentorship & Support Commitment: 

We are committed to supporting the career and personal development of all lab members. We believe that the best science comes from good teams fueled by passion, motivation, perseverance, and – probably much underestimated – a supportive environment. We build an inclusive and supportive lab environment where everyone can achieve their science dreams and career goals regardless of their background, gender, ethnicity, race, or nationality. 

Graduate Student Candidates: Our lab is ready to host students from diverse research backgrounds and support bold research projects from multimodal AI and single-cell multi-omics technologies to aging and cancer biology challenges. Current graduate students from any of the Harvard Integrated Life Sciences (HILS) Ph.D. programs at Harvard Medical School and Harvard University are encouraged to contact Bo and discuss customized rotation and thesis projects.  

Prospective students who are interested in the PhD programs must apply and be admitted through one of Harvard’s HILS PhD programs — for example, the PhD programs in Biological and Biomedical Sciences, Biomedical Informatics, and Systems, Synthetic, and Quantitative Biology​. Once admitted, students are welcome to contact Bo via email.

Master and Undergraduate Students: Highly motivated students are encouraged to reach out about research opportunities in our lab. Bo's career started with a eureka moment during his undergraduate research, which eventually led to multiple innovative epigenomic technologies. We strive to provide research and training opportunities for motivated master and undergraduate students. We welcome students who think beyond boundaries and are eager to grow into next-generation scientific leaders.