TEAM

DrBhat

Dr. Mamatha Bhat

Principal Investigator

Dr. Mamatha Bhat is a Hepatologist and Clinician-Scientist at UHN’s Ajmera Transplant Centre, and an Assistant Professor of Medicine at the University of Toronto. She is also a Scientist at Toronto General Hospital Research Institute and has a graduate appointment with the Institute of Medical Sciences. Dr. Bhat completed her medical school and residency training, including the Clinician Investigator Program, at McGill University. She then completed a Transplant Hepatology fellowship at the Mayo Clinic in Rochester, Minnesota, followed by a Canadian Institutes of Health Research (CIHR) Fellowship for Health Professionals, through which she completed a PhD in Medical Biophysics (U of T).

The goal of Dr. Bhat’s research program is to improve long-term outcomes of liver transplantation through a precision medicine approach. Her program is unique in using tools of Artificial Intelligence with bioinformatics to personalize the care of liver transplant recipients based on an improved biological understanding of the liver and disease after transplant. Her interdisciplinary program and team have been supported by CIHR, Terry Fox Research Institute, Stem Cell Network, Canadian Donation and Transplant Research Program, Natural Sciences and Engineering Research Council (NSERC), Canadian Liver Foundation (CLF), among others. Dr. Bhat is on the Executive committee of the CDTRP; Vice-Chair of the International Liver Transplant Society Basic and Translational Science Research committee; and is an Associate Editor for the American Journal of Transplantation. Dr. Bhat has also been the recipient of recognitions such as the 2022 CIHR-INMD-CASL Early Career Researcher prize, the 2020 Polanyi Prize and the 2021 American Society of Transplantation Basic Science Career Development Award.

Current Lab Members

Elisa Pasini

Elisa Pasini

Master of Science in Laboratory Medicine and Pathobiology, Udine, Italy. She has a Graduate degree in Biological Sciences with Pathophysiology Specialty, Bologna, Italy

 Current Research:

– Analyst involved in most of the projects in the lab and helps in student supervision
– Integration of multi-omics data in liver cancer and post-transplant diseases
– Network analysis and graphical visualization of protein-protein-interactions in liver cancer and post-transplant diseases
– Molecular validation of bioinformatics predictions for liver diseases

Cristina Baciu

Scientific Associate

PhD in Bioinformatics and Computational Biology – UNC Charlotte, USA
MS in Biochemistry / Computational Chemistry – Univ. of Windsor, ON
BSc in Chemical Engineering – Technical Univ. Ghe. Asachi -Iasi, Romania

Current Research:

– Overseeing the basic research projects in the lab, helps with grant applications, collaborative projects and bioinformatics analyses. She has extensive experience in cancer research, biomarker discovery in various diseases, multi-omics data integration, network and pathway analysis.

Yingji Sun

Yingji Sun is a Machine Learning Analyst who joined our lab as in December 2021. With a Master of Science in Biostatistics – Dalla Lana School of Public Health, University of Toronto
Honours Bachelor of Science in Physiology and Statistics – University of Toronto

Current Research:
  • Employing machine learning methods to predict the survival trajectories of NASH patients and PSC patients on liver transplant waitlist

Maryam Naghibzadeh

(June 2022- present) Graduated from medical school at Tehran University of Medical Science, Tehran, Iran.

She joined our lab as a post-doctoral research fellow in June 2022.

Current Projects:

Yilin Sun

(Sept 2022-present)
Master of Science Candidate – Institute of Medical Science, University of Toronto
Honours Bachelor of Science in Biomedical Sciences and minor in neuroscience – University of Guelph

Current Research:
  • Identifying exosomal biomarkers in plasma of normal vs abnormal liver regeneration

Soumita Ghosh

(Oct 2022-present) Doctor of Philosophy (Bioinformatics), Saw Swee Hock School of Public Health, National University of Singapore
Master of Science in Digital Media Technology, School of Computer Science and Engineering, Nanyang Technological University, Singapore
Bachelor of Technology in Information Technology, West Bengal University of Technology, India

Current Research:
  • Decoding molecular mechanisms of NASH progression using multi-omics integration with clinical features using machine learning

Jeffrey To

(Oct 2022-present) Doctor of Philosophy in Cellular, Molecular Biology, and Oncology, The Hong Kong Polytechnic University, Hong Kong

Bachelor of Science (Honours) in Applied Biology with Biotechnology, The Hong Kong Polytechnic University, Hong Kong

Current Research:
  • Delineating the molecular profiles of recurrent HCC post-transplant under immunosuppression

Alyssa Apilan

(Sept 2022-present) Master of Applied Science Candidate – Institute of Biomedical Engineering, University of Toronto

Previous Education: Honours Bachelor of Science in Biology, McMaster University

Current Research:
  • Dexamining the role of porphysomes in the context of image-guided treatment for hepatocellular carcinoma using animal models

Post-Doctoral Fellows

Anh Thu Nguyen

Anh Thu Nguyen-Lefebvre

Doctor of Philosophy in Cellular, Molecular Biology, and Oncology – Universite Claude Bernard Lyon, France
Master of Science in Functional Genetics and Cellular Pathologies – Universite Claude Bernard Lyon, France
Bachelor of Science in Genetics – Universite Claude Bernard Lyon, France

Current Research:

-Identification of Stem Cell populations in Liver Regeneration, and Characterization of their Molecular Markers.
– Identification of Signaling Pathways regulating Liver Regeneration.

Anita Bakrania

Anita Bakrania

Received her B.Pharm, M.Pharm and Ph.D. in Pharmaceutical Sciences from Nirma University, India. Her Ph.D dissertation was focussed on nano-targeted anti-cancer therapy in TNBC. She then pursued her postdoctoral research at Universite de Sherbrooke (Quebec) as a recipient of both CRCHUS and FRQS fellowships while working on the therapeutic interventions and mechanistic approach of PACE4 in prostate cancer. Recently joined Dr. Bhat’s team.

Current Research:

-Biodistribution and off-target liver toxicity of therapeutic cargo delivered via porphysomes in hepatocellular carcinoma
-Effectiveness of siRNA targeted nano-delivery in decreasing HCC burden in the context of cirrhosis

Nadia Prayitno

Doctor of Natural Sciences (Dr. rer. nat) in Molecular Biology, Chromatin Biology – Ludwig-Maximilians-Universität München, Germany
Master of Science in Molecular Medicine – Georg-August-Universität Göttingen, Germany
Honours Bachelor of Science in Immunology, Molecular Genetics & Microbiology – University of Toronto, Canada

Nadia holds a doctoral degree for her work on the role of roX RNA in Dosage Compensation during Drosophila melanogaster embryogenesis, where she utilized a variety of molecular and cellular biology, biochemistry, NGS, and bioinformatic techniques. She joined the lab in July 2021 and is a trainee of the Canadian Donation and Transplantation Research Program.

Current Research:
  • Elucidating the epigenetic effects of environmental factors on an aggressive form of NASH by integrating multi-comics data of post-transplant NASH
  • Evaluating novel approaches for the treatment of NASH

Master's Student

Madhumitha Rabindranath

Master of Science Candidate – Institute of Medical Science, University of Toronto

Honours Bachelor of Science in Pathobiology and Practical French – University of Toronto

Madhu is a recent HBSc. graduate who has research experience in clinical research, particularly in transplantation and artificial intelligence (AI). She recently completed a fourth-year undergraduate research project where she leveraged deep learning to automate Ki67 positivity scoring in various neuropathology cases. Combining her interests in AI and hepatology, she joined as a graduate student at the Bhat lab in Sept 2021.

Current Research:
  • Developing a deep learning workflow that non-invasively diagnoses liver graft fibrosis and steatosis (in partnership with Medo.AI)

Medical Students

Bishoy Lawendy

(2020 April – Current)

Adam Minich

(2020 April – Current)

Jason Tran

(2020-Current)

Current Undergraduate Students

Priya Sheth

(2020 April – 2021 Sep)

Chaoqun (Cherry) Xu

(2020 April – 2021 Sep)

Mary Grace Wong

(2020 April – 2021 Sep)

Undergraduate Students

Multi Organ Transplant Research Training Program

Catherine Chen

Catherine Chen

Fall Student (2020 Sep-2021 Apr, 2019 Sep – 2020 Apr, 2018 Sep – 2019 Apr)

Shruti Misra

Shruti Misra

Fall Student (2020 Sep- 2021 Apr, 2019 Sep – 2020 Apr)
Summer Student (2019 May – 2019 Aug)

Cindy Wei

Fall Student (2020 Sep- 2021 Apr)

Peihao Li

Fall Student (2019 Sep – 2020 Apr)

Nan Ji Suo

Nan Ji Suo

Fall Student (2019 Sep – 2020 Apr)

Cathy Yang

Cathy Yang

Fall Student (2019 Sep – 2020 Apr), Summer Student (2019 May – 2019 Aug)

Andrew Rogalsky

Andrew Rogalsky

Summer Student (2019 May – 2019 Aug)

Praniya Nesan

Praniya Nesan

Summer Student (2019 May – 2019 Aug)

Cherie Tang

Cherie Tang

Summer Student (2019 May – 2019 Aug)

Catherine Hu

Catherine Hu

Summer Student (2019 May – 2019 Aug)

Lab Alumni

Amirhossein Azhie

(2019-2022), Post Transplant NASH

Fakhar Ali Qazi Arisar 

Machine Learning in Liver TransplantationNASH

Victor Dong 

(2019-2020), Outcomes of Liver Transplantation for Patients with NASH Cirrhosis in ICU at Time of Transplant.

Neta Gottlieb

(2020-2021), Machine Learning in Liver Transplantation

Chinmay Bera 

(2019-2021), Changes in Long-term Survival and Causes of Mortality After Liver Transplantation.

Amanpreet Brar

(2020 – 2022) – Molecular Machine Learning in HCC

Saranya Sivaraj

(2019 Apr – 2020 Nov), Probiotics to prevent the Progression of Non-alcoholic Steatohepatitis to Cirrhosis

Graziano Oldani

(2018 Dec – 2020 Jun), Pathway-based Analysis of Liver Regeneration.

Ravi Kiran

(2018 Dec – 2020 Jan), Prediction of Survival after Transplant for NASH Cirrhosis.

Raj Uchila

(2019 Aug – 2020 June), Outcomes of Liver Transplantation for Lean and Obese NASH Cirrhosis.

Saeed Almarzooqi

(2018 Dec – 2019 Oct), Cardiovascular Complications after Liver Transplantation.

Sreelakshmi Kotha

(2018 Dec – 2019), Meta-analysis of Post-transplant diabetes.

Divya Sharma

(2020 Oct – 2021 Sept), Application of ML tools for liver disease detection and analysis.

Radmehr Rahemipour

(2019 Sept – 2021 Sept), Development of Porphysomes as Treatment for Hepatocellular Carcinoma.

Anshu Malik

(2020 Dec – 2021 Sept), Probiotics to prevent the Progression of Non-alcoholic Steatohepatitis to Cirrhosis.

Marc Angeli

(2018 Dec – 2021 Sept), Post-Transplant outcomes.

HEADER IMAGE CREDIT – Bergthaler Group/CeMM

This 3D image depicts the liver at the microscopic level. Liver cells are organized around the central veins to form hexagonal hepatic lobules that are powerhouses of liver metabolism and immune-metabolic regulators upon infection.