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Eric Sun

Massachusetts Institute of Technology

Flexible CommitmentsFriendly PeersHands-onEmotionally Stable
4.0/5
8 reviews
πŸ‘ 4πŸ‘Ž 0
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About Eric Sun at Massachusetts Institute of Technology (MIT)

Eric Sun is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Speech Recognition and Synthesis, Single-cell and spatial transcriptomics, and Speech and Audio Processing. As a highly cited researcher, their work has accumulated over 2,010 citations, reflecting substantial influence across the academic community. Their H-index of 19 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Speech Recognition and SynthesisSingle-cell and spatial transcriptomicsSpeech and Audio ProcessingCell Image Analysis TechniquesNatural Language Processing Techniques

Rating Breakdown

Supervision Style4.8
Responsiveness3.8
Workload3.8
Funding Support3.3
Communication4.3

Lab Environment & Research Profile

Academic data verified Β· April 2026 Β· Next sync: May 2026

Lab Environment

Supervision4.8/5
Responsiveness3.8/5
Funding3.3/5
Communication4.3/5
Work-Life Balance4.0/5

Among reviewed supervisors at MIT, Eric Sun scores in the top 10% for Supervision (4.8/5).

Academic Output

Total Citations2,010

Emerging researcher

Publications71

Selective publication record

h-index19

Developing track record

i10-index25

Early-stage portfolio

Reviews (4)

πŸ‘

A student recommended this supervisor and marked them as Flexible Commitments

Anonymous quick feedback

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2 months ago

πŸ‘

A student recommended this supervisor and marked them as Friendly Peers

Anonymous quick feedback

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9 months ago

πŸ‘

A student recommended this supervisor and marked them as Emotionally Stable

Anonymous quick feedback

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4 months ago

A
Anonymous2/6/2026
β˜…4.0

Resources are adequate for research, not luxurious. Willing to fight for your conference travel budget. Teaches you to be resourceful with what you have.

A
Anonymous12/19/2025
β˜…4.0

Interactions were limited to a 6–9 month collaboration on computational modeling tools. Meetings were scheduled regularly and tended to balance conceptual framing with practical implementation. Feedback often focused on modeling assumptions and validation strategies. I did not have direct insight into lab funding or personnel decisions. The environment may suit students interested in systems-level modeling and method development with computational emphasis.

A
Anonymous9/3/2025
β˜…4.0

Weekly group meetings are structured but allow real discussion. Gives space for divergent ideas while keeping everyone aligned on the lab's direction.

πŸ‘

A student recommended this supervisor and marked them as Hands-on

Anonymous quick feedback

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9 months ago

A
Anonymous6/29/2025
β˜…4.0

Realistic about PhD pace. Doesn't expect constant output. Understands research has slow periods. Occasionally sends emails at odd hours but doesn't expect immediate responses.

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